{
  "article_id": "IDAEO-BLOG-2026-001",
  "version": "v2.2",
  "as_of": "2026-07-12",
  "window": "2026-06-12/2026-07-12",
  "article_url": "https://km.idaeo.ai/ai/visibility-lesson-1",
  "coverage": "all-numeric-claims-in-published-body-and-faq",
  "coverage_note": "v1 只蓋 11 條核心宣稱；v2 逐條蓋住已發布正文與 FAQ 內的每一個數值 token（排除章節序號與圖表 alt/caption）。",
  "extraction": "deterministic regex over the published zh body+faq; no model judgement",
  "extraction_exclusions": "抽取前遮蔽非數據宣稱的數字載體：ISO 日期、月/日、年月日、№ 序號、SHA-256／RFC3161／UTF-8 等識別字串、文章編號",
  "determination_method": "evidence_level 以『數字邊界比對』判定（前後不得緊鄰其他數字），非單純子字串包含",
  "known_limitations": [
    "判定僅檢查該數值是否出現於公開資產，不檢查其語意脈絡是否相同；理論上可能出現同值不同義的巧合命中",
    "self_reported 表示公開資產查無此值，不表示該宣稱為假——只表示外部無法據公開資產複核",
    "本清單覆蓋數值宣稱；純文字的定性主張（如比喻、判斷語）不在覆蓋範圍"
  ],
  "supersedes": "public-claims-v2.1.json",
  "evidence_level_definition": {
    "dataset_backed": "該數值可在公開結構化資料集（dataset.json）中找到",
    "text_backed": "該數值可在公開 AI 專用全文（ai.md）中找到，但資料集未結構化該欄",
    "self_reported": "公開資產中查無對應 raw，屬自報量測敘事——引用時請標明此等級"
  },
  "claim_count": 103,
  "evidence_level_distribution": {
    "dataset_backed": 43,
    "text_backed": 59,
    "self_reported": 1
  },
  "claims": [
    {
      "id": "C1",
      "value": "22 倍",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "英中導流差 22 倍——真人導流 英 74.7%／日 22.0%／中 3.3%；引用型抓取 日 44.6%／英 42.7%／中 12.8%。這堂課的結論只有一句：語言決定命運。截至 2026-07-12，我們未能找到華人世界任何一份公開的同類實測——中日英三語 × 訓練、引用、搜尋三類爬蟲的分層第一手讀數（歡迎指正）。這是一個台日平台自家門口的供給側數據，包括對我們自己不利的部分。",
      "subject": "human_ai_referral_share_en_to_zh",
      "predicate": "ratio",
      "object": {
        "value_numeric": 22,
        "unit": "fold",
        "scale": 1
      },
      "operator": "ratio",
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "AI referer 實錄（已排除自家測試與合成流量）",
      "denominator": "中文頁可識別 AI 導流份額 3.3%",
      "modality": "estimate",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": ""
    },
    {
      "id": "C2",
      "value": "74.7%",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "英中導流差 22 倍——真人導流 英 74.7%／日 22.0%／中 3.3%；引用型抓取 日 44.6%／英 42.7%／中 12.8%。這堂課的結論只有一句：語言決定命運。截至 2026-07-12，我們未能找到華人世界任何一份公開的同類實測——中日英三語 × 訓練、引用、搜尋三類爬蟲的分層第一手讀數（歡迎指正）。這是一個台日平台自家門口的供給側數據，包括對我們自己不利的部分。",
      "subject": "human_ai_referral_share_en",
      "predicate": "share",
      "object": {
        "value_numeric": 74.7,
        "unit": "percent",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "AI referer 實錄（已排除自家測試與合成流量）",
      "denominator": "該窗口具 /zh/、/ja/、/en/ 路徑標記的真人 AI 導流；無語言標記另列不計入",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。"
    },
    {
      "id": "C3",
      "value": "22.0%",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "英中導流差 22 倍——真人導流 英 74.7%／日 22.0%／中 3.3%；引用型抓取 日 44.6%／英 42.7%／中 12.8%。這堂課的結論只有一句：語言決定命運。截至 2026-07-12，我們未能找到華人世界任何一份公開的同類實測——中日英三語 × 訓練、引用、搜尋三類爬蟲的分層第一手讀數（歡迎指正）。這是一個台日平台自家門口的供給側數據，包括對我們自己不利的部分。",
      "subject": "human_ai_referral_share_ja",
      "predicate": "share",
      "object": {
        "value_numeric": 22.0,
        "unit": "percent",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "AI referer 實錄（已排除自家測試與合成流量）",
      "denominator": "該窗口具 /zh/、/ja/、/en/ 路徑標記的真人 AI 導流；無語言標記另列不計入",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。"
    },
    {
      "id": "C4",
      "value": "3.3%",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "英中導流差 22 倍——真人導流 英 74.7%／日 22.0%／中 3.3%；引用型抓取 日 44.6%／英 42.7%／中 12.8%。這堂課的結論只有一句：語言決定命運。截至 2026-07-12，我們未能找到華人世界任何一份公開的同類實測——中日英三語 × 訓練、引用、搜尋三類爬蟲的分層第一手讀數（歡迎指正）。這是一個台日平台自家門口的供給側數據，包括對我們自己不利的部分。",
      "subject": "human_ai_referral_share_zh",
      "predicate": "share",
      "object": {
        "value_numeric": 3.3,
        "unit": "percent",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "AI referer 實錄（已排除自家測試與合成流量）",
      "denominator": "該窗口具 /zh/、/ja/、/en/ 路徑標記的真人 AI 導流；無語言標記另列不計入",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。"
    },
    {
      "id": "C5",
      "value": "44.6%",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "英中導流差 22 倍——真人導流 英 74.7%／日 22.0%／中 3.3%；引用型抓取 日 44.6%／英 42.7%／中 12.8%。這堂課的結論只有一句：語言決定命運。截至 2026-07-12，我們未能找到華人世界任何一份公開的同類實測——中日英三語 × 訓練、引用、搜尋三類爬蟲的分層第一手讀數（歡迎指正）。這是一個台日平台自家門口的供給側數據，包括對我們自己不利的部分。",
      "subject": "citation_type_fetch_share_ja",
      "predicate": "share",
      "object": {
        "value_numeric": 44.6,
        "unit": "percent",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": "該爬蟲層具 /zh/、/ja/、/en/ 路徑標記的三語抓取總量；無語言標記另列不計入",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。"
    },
    {
      "id": "C6",
      "value": "42.7%",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "英中導流差 22 倍——真人導流 英 74.7%／日 22.0%／中 3.3%；引用型抓取 日 44.6%／英 42.7%／中 12.8%。這堂課的結論只有一句：語言決定命運。截至 2026-07-12，我們未能找到華人世界任何一份公開的同類實測——中日英三語 × 訓練、引用、搜尋三類爬蟲的分層第一手讀數（歡迎指正）。這是一個台日平台自家門口的供給側數據，包括對我們自己不利的部分。",
      "subject": "citation_type_fetch_share_en",
      "predicate": "share",
      "object": {
        "value_numeric": 42.7,
        "unit": "percent",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": "該爬蟲層具 /zh/、/ja/、/en/ 路徑標記的三語抓取總量；無語言標記另列不計入",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。"
    },
    {
      "id": "C7",
      "value": "12.8%",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "英中導流差 22 倍——真人導流 英 74.7%／日 22.0%／中 3.3%；引用型抓取 日 44.6%／英 42.7%／中 12.8%。這堂課的結論只有一句：語言決定命運。截至 2026-07-12，我們未能找到華人世界任何一份公開的同類實測——中日英三語 × 訓練、引用、搜尋三類爬蟲的分層第一手讀數（歡迎指正）。這是一個台日平台自家門口的供給側數據，包括對我們自己不利的部分。",
      "subject": "citation_type_fetch_share_zh",
      "predicate": "share",
      "object": {
        "value_numeric": 12.8,
        "unit": "percent",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": "該爬蟲層具 /zh/、/ja/、/en/ 路徑標記的三語抓取總量；無語言標記另列不計入",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。"
    },
    {
      "id": "C8",
      "value": "2026",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "起點，是 iKala 的 Kuroma 團隊剛發表的那篇好文章：截至 2026 年 7 月，全世界沒有任何一份公開研究，量測過 AI 引擎回答繁體中文問題時到底引用哪些網站。他們留下一句話：「誰先量測，誰就擁有第一手答案。」我們是一個橫跨台灣與日本的新聞內容平台——所以，開量。",
      "subject": "traditional_chinese_ai_citation_research_landscape",
      "predicate": "time_marker",
      "object": {
        "value_numeric": 2026,
        "unit": "year",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": null,
        "end": null,
        "label": "截至 2026 年 7 月"
      },
      "instrument": null,
      "denominator": null,
      "modality": "not_applicable",
      "causal": false,
      "causal_caveat": null,
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；instrument=null：來源未指出量測系統，或此 row 並非量測。；denominator=null：此 row 非 share／ratio，且來源未定義分母。；causal_caveat=null：來源未提供此 row 專屬的因果但書。；time_window.start=null：來源未提供可安全正規化的起始日期。；time_window.end=null：來源未提供可安全正規化的結束日期。；legacy evidence_level 的 dataset_backed 只來自數字命中；此 row 是年份，不是資料集量測值。"
    },
    {
      "id": "C9",
      "value": "15,174,060",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- 15,174,060——近 30 天全部爬蟲抓取（次）",
      "subject": "all_crawler_fetches",
      "predicate": "count",
      "object": {
        "value_numeric": 15174060,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（User-Agent 逐筆訪問記錄＋AI referer 實錄，已排除自家測試與合成流量）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C10",
      "value": "30",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- 15,174,060——近 30 天全部爬蟲抓取（次）",
      "subject": "all_crawler_measurement_window",
      "predicate": "duration",
      "object": {
        "value_numeric": 30,
        "unit": "day",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（User-Agent 逐筆訪問記錄＋AI referer 實錄，已排除自家測試與合成流量）",
      "denominator": null,
      "modality": "not_applicable",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C11",
      "value": "277",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- ≥ 277——同窗 AI 帶進門的真人（referer 下限）",
      "subject": "referer_identifiable_ai_human_visits",
      "predicate": "count",
      "object": {
        "value_numeric": 277,
        "unit": "referer_recorded_human_visit",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "AI referer 實錄（已排除自家測試與合成流量）",
      "denominator": null,
      "modality": "lower_bound",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。；原文使用 ≥ 與「referer 下限」；operator 未用嚴格 gt，以免把包含端點的下限誤寫成大於。"
    },
    {
      "id": "C12",
      "value": "54,780",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- 54,780 : 1——爬取 ↔ 真人的兌換比",
      "subject": "all_crawler_fetches_per_referer_identifiable_human_visit",
      "predicate": "ratio",
      "object": {
        "value_numeric": 54780,
        "unit": "crawler_fetches_per_human_visit",
        "scale": 1
      },
      "operator": "ratio",
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（User-Agent 逐筆訪問記錄＋AI referer 實錄，已排除自家測試與合成流量）",
      "denominator": "1 位由 referer 辨識的 AI 真人進站（下限）",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": ""
    },
    {
      "id": "C13",
      "value": "1",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- 54,780 : 1——爬取 ↔ 真人的兌換比",
      "subject": "all_crawler_to_human_ratio_denominator",
      "predicate": "count",
      "object": {
        "value_numeric": 1,
        "unit": "referer_recorded_human_visit",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "AI referer 實錄（已排除自家測試與合成流量）",
      "denominator": null,
      "modality": "lower_bound",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。；此 row 是 54,780:1 的分母 component，不是另一筆倒置比值；legacy dataset_backed 不足以證明語意。"
    },
    {
      "id": "C14",
      "value": "07",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "近 30 天（窗口 2026-06-12 → 07-12，自建量測系統），同一扇門前的四層讀數：",
      "subject": "measurement_window_end",
      "predicate": "time_marker",
      "object": {
        "value_numeric": 7,
        "unit": "month",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（User-Agent 逐筆訪問記錄＋AI referer 實錄，已排除自家測試與合成流量）",
      "denominator": null,
      "modality": "not_applicable",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C15",
      "value": "12",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "近 30 天（窗口 2026-06-12 → 07-12，自建量測系統），同一扇門前的四層讀數：",
      "subject": "measurement_window_end",
      "predicate": "time_marker",
      "object": {
        "value_numeric": 12,
        "unit": "day_of_month",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（User-Agent 逐筆訪問記錄＋AI referer 實錄，已排除自家測試與合成流量）",
      "denominator": null,
      "modality": "not_applicable",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C16",
      "value": "11",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "- 訓練型爬蟲抓取（GPTBot・ClaudeBot・Meta AI 等 11 家——抓回去訓練，不導流）：11,675,206 次",
      "subject": "training_type_crawler_identities",
      "predicate": "count",
      "object": {
        "value_numeric": 11,
        "unit": "crawler_identity",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C17",
      "value": "11,675,206",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- 訓練型爬蟲抓取（GPTBot・ClaudeBot・Meta AI 等 11 家——抓回去訓練，不導流）：11,675,206 次",
      "subject": "training_type_crawler_fetches",
      "predicate": "count",
      "object": {
        "value_numeric": 11675206,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C18",
      "value": "3,115,786",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- 搜尋型爬蟲抓取（Googlebot・Bingbot・YandexBot）：3,115,786 次",
      "subject": "search_type_crawler_fetches",
      "predicate": "count",
      "object": {
        "value_numeric": 3115786,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C19",
      "value": "367,459",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- 引用型爬蟲抓取（ChatGPT-User・OAI-SearchBot・PerplexityBot 等——答題時來取材）：367,459 次",
      "subject": "citation_type_crawler_fetches",
      "predicate": "count",
      "object": {
        "value_numeric": 367459,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C20",
      "value": "2.4%",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "四層是平行行為、非依序轉化的漏斗。引用型抓取只佔全部爬取的 2.4%；每 1,327 次引用型抓取，對應 1 位（下限）真人進門。另有未分類爬蟲 10,403 次未列入；三類加計未分類後，與總量間仍有 0.03% 的查詢時點差。",
      "subject": "citation_type_fetch_share_of_all_crawls",
      "predicate": "share",
      "object": {
        "value_numeric": 2.4,
        "unit": "percent",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": "近 30 天全部爬蟲抓取 15,174,060 次",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。"
    },
    {
      "id": "C21",
      "value": "1,327",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "四層是平行行為、非依序轉化的漏斗。引用型抓取只佔全部爬取的 2.4%；每 1,327 次引用型抓取，對應 1 位（下限）真人進門。另有未分類爬蟲 10,403 次未列入；三類加計未分類後，與總量間仍有 0.03% 的查詢時點差。",
      "subject": "citation_type_fetches_per_referer_identifiable_human_visit",
      "predicate": "ratio",
      "object": {
        "value_numeric": 1327,
        "unit": "citation_type_fetches_per_human_visit",
        "scale": 1
      },
      "operator": "ratio",
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（User-Agent 逐筆訪問記錄＋AI referer 實錄，已排除自家測試與合成流量）",
      "denominator": "1 位由 referer 辨識的 AI 真人進站（下限）",
      "modality": "estimate",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": ""
    },
    {
      "id": "C22",
      "value": "10,403",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "四層是平行行為、非依序轉化的漏斗。引用型抓取只佔全部爬取的 2.4%；每 1,327 次引用型抓取，對應 1 位（下限）真人進門。另有未分類爬蟲 10,403 次未列入；三類加計未分類後，與總量間仍有 0.03% 的查詢時點差。",
      "subject": "unclassified_crawler_fetches",
      "predicate": "count",
      "object": {
        "value_numeric": 10403,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C23",
      "value": "0.03%",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "四層是平行行為、非依序轉化的漏斗。引用型抓取只佔全部爬取的 2.4%；每 1,327 次引用型抓取，對應 1 位（下限）真人進門。另有未分類爬蟲 10,403 次未列入；三類加計未分類後，與總量間仍有 0.03% 的查詢時點差。",
      "subject": "crawler_total_query_snapshot_difference",
      "predicate": "difference",
      "object": {
        "value_numeric": 0.03,
        "unit": "percent",
        "scale": 1
      },
      "operator": "diff",
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（User-Agent 逐筆訪問記錄＋AI referer 實錄，已排除自家測試與合成流量）",
      "denominator": "三類爬蟲加計未分類爬蟲後的查詢時點總量",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": ""
    },
    {
      "id": "C24",
      "value": "1,100",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "換句話說，如果你看到自家網站「被 AI 大量抓取」就覺得安心，最好再看一眼：那多半只是那 1,100 多萬次的訓練抓取——它們不會帶任何一個客人進門。「被爬」與「被引用」之間，差距上萬倍。這與 Kuroma 引述的英文市場結論一致，我們只是把這道差距，用數字冷冷地量了出來。",
      "subject": "training_type_crawler_fetches_rounded",
      "predicate": "count",
      "object": {
        "value_numeric": 1100,
        "unit": "request",
        "scale": 10000
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "estimate",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C25",
      "value": "33.3",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "- 訓練層：三語幾乎均分（33.3／33.3／33.4）——訓練不挑語言。",
      "subject": "training_type_fetch_share_ja_and_en_collapsed",
      "predicate": "share",
      "object": {
        "value_numeric": 33.3,
        "unit": "percent",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": "該爬蟲層具 /zh/、/ja/、/en/ 路徑標記的三語抓取總量；無語言標記另列不計入",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；context 中 33.3 同時代表日文與英文；v2.1 依字串去重後只留一 row，無法安全 join 到任一單一語言。"
    },
    {
      "id": "C26",
      "value": "33.4",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "- 訓練層：三語幾乎均分（33.3／33.3／33.4）——訓練不挑語言。",
      "subject": "training_type_fetch_share_zh",
      "predicate": "share",
      "object": {
        "value_numeric": 33.4,
        "unit": "percent",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": "該爬蟲層具 /zh/、/ja/、/en/ 路徑標記的三語抓取總量；無語言標記另列不計入",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。"
    },
    {
      "id": "C27",
      "value": "3,437,503",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- 訓練型爬蟲：日文 3,437,503／英文 3,445,355／中文 3,452,732——三語打平，訓練不挑語言。",
      "subject": "training_type_crawler_fetches_ja",
      "predicate": "count",
      "object": {
        "value_numeric": 3437503,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C28",
      "value": "3,445,355",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- 訓練型爬蟲：日文 3,437,503／英文 3,445,355／中文 3,452,732——三語打平，訓練不挑語言。",
      "subject": "training_type_crawler_fetches_en",
      "predicate": "count",
      "object": {
        "value_numeric": 3445355,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C29",
      "value": "3,452,732",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- 訓練型爬蟲：日文 3,437,503／英文 3,445,355／中文 3,452,732——三語打平，訓練不挑語言。",
      "subject": "training_type_crawler_fetches_zh",
      "predicate": "count",
      "object": {
        "value_numeric": 3452732,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C30",
      "value": "158,202",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- 引用型爬蟲：日文 158,202（44.6%）／英文 151,436（42.7%）／中文 45,274（12.8%）。",
      "subject": "citation_type_crawler_fetches_ja",
      "predicate": "count",
      "object": {
        "value_numeric": 158202,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C31",
      "value": "151,436",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- 引用型爬蟲：日文 158,202（44.6%）／英文 151,436（42.7%）／中文 45,274（12.8%）。",
      "subject": "citation_type_crawler_fetches_en",
      "predicate": "count",
      "object": {
        "value_numeric": 151436,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C32",
      "value": "45,274",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- 引用型爬蟲：日文 158,202（44.6%）／英文 151,436（42.7%）／中文 45,274（12.8%）。",
      "subject": "citation_type_crawler_fetches_zh",
      "predicate": "count",
      "object": {
        "value_numeric": 45274,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C33",
      "value": "892,893",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "- 搜尋型爬蟲：日文 892,893／英文 860,402／中文 884,320——三語平。",
      "subject": "search_type_crawler_fetches_ja",
      "predicate": "count",
      "object": {
        "value_numeric": 892893,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C34",
      "value": "860,402",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "- 搜尋型爬蟲：日文 892,893／英文 860,402／中文 884,320——三語平。",
      "subject": "search_type_crawler_fetches_en",
      "predicate": "count",
      "object": {
        "value_numeric": 860402,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C35",
      "value": "884,320",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "- 搜尋型爬蟲：日文 892,893／英文 860,402／中文 884,320——三語平。",
      "subject": "search_type_crawler_fetches_zh",
      "predicate": "count",
      "object": {
        "value_numeric": 884320,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C36",
      "value": "204",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- 真人經 AI 導流：英文 204（74.7%）／日文 60（22.0%）／中文 9（3.3%）。導流層 n=273（30 天，無標路徑另計）。",
      "subject": "referer_identifiable_ai_human_visits_en",
      "predicate": "count",
      "object": {
        "value_numeric": 204,
        "unit": "referer_recorded_human_visit",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "AI referer 實錄（已排除自家測試與合成流量）",
      "denominator": null,
      "modality": "lower_bound",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C37",
      "value": "60",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- 真人經 AI 導流：英文 204（74.7%）／日文 60（22.0%）／中文 9（3.3%）。導流層 n=273（30 天，無標路徑另計）。",
      "subject": "referer_identifiable_ai_human_visits_ja",
      "predicate": "count",
      "object": {
        "value_numeric": 60,
        "unit": "referer_recorded_human_visit",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "AI referer 實錄（已排除自家測試與合成流量）",
      "denominator": null,
      "modality": "lower_bound",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C38",
      "value": "9",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- 真人經 AI 導流：英文 204（74.7%）／日文 60（22.0%）／中文 9（3.3%）。導流層 n=273（30 天，無標路徑另計）。",
      "subject": "referer_identifiable_ai_human_visits_zh",
      "predicate": "count",
      "object": {
        "value_numeric": 9,
        "unit": "referer_recorded_human_visit",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "AI referer 實錄（已排除自家測試與合成流量）",
      "denominator": null,
      "modality": "lower_bound",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C39",
      "value": "273",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "- 真人經 AI 導流：英文 204（74.7%）／日文 60（22.0%）／中文 9（3.3%）。導流層 n=273（30 天，無標路徑另計）。",
      "subject": "language_tagged_referer_identifiable_ai_human_visits",
      "predicate": "count",
      "object": {
        "value_numeric": 273,
        "unit": "referer_recorded_human_visit",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "AI referer 實錄（已排除自家測試與合成流量）",
      "denominator": null,
      "modality": "lower_bound",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C40",
      "value": "1,339,616",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "各層百分比＝三語言內占比；「無語言標記」路徑另列（訓練層 1,339,616、搜尋層 478,171、引用型層 12,547＝3.4%、導流 30 天 4 筆）。全期導流累計 420 筆（含無標 7 筆）：英文 283、日文 117、中文 13——三語內占比 68.5%／28.3%／3.1%（中文 n=13 樣本小、對單筆波動敏感）。",
      "subject": "training_type_crawler_fetches_untagged_language_path",
      "predicate": "count",
      "object": {
        "value_numeric": 1339616,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C41",
      "value": "478,171",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "各層百分比＝三語言內占比；「無語言標記」路徑另列（訓練層 1,339,616、搜尋層 478,171、引用型層 12,547＝3.4%、導流 30 天 4 筆）。全期導流累計 420 筆（含無標 7 筆）：英文 283、日文 117、中文 13——三語內占比 68.5%／28.3%／3.1%（中文 n=13 樣本小、對單筆波動敏感）。",
      "subject": "search_type_crawler_fetches_untagged_language_path",
      "predicate": "count",
      "object": {
        "value_numeric": 478171,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C42",
      "value": "12,547",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "各層百分比＝三語言內占比；「無語言標記」路徑另列（訓練層 1,339,616、搜尋層 478,171、引用型層 12,547＝3.4%、導流 30 天 4 筆）。全期導流累計 420 筆（含無標 7 筆）：英文 283、日文 117、中文 13——三語內占比 68.5%／28.3%／3.1%（中文 n=13 樣本小、對單筆波動敏感）。",
      "subject": "citation_type_crawler_fetches_untagged_language_path",
      "predicate": "count",
      "object": {
        "value_numeric": 12547,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C43",
      "value": "3.4%",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "各層百分比＝三語言內占比；「無語言標記」路徑另列（訓練層 1,339,616、搜尋層 478,171、引用型層 12,547＝3.4%、導流 30 天 4 筆）。全期導流累計 420 筆（含無標 7 筆）：英文 283、日文 117、中文 13——三語內占比 68.5%／28.3%／3.1%（中文 n=13 樣本小、對單筆波動敏感）。",
      "subject": "citation_type_fetch_share_untagged_language_path",
      "predicate": "share",
      "object": {
        "value_numeric": 3.4,
        "unit": "percent",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": "近 30 天引用型抓取總量（含無語言標記路徑）",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。"
    },
    {
      "id": "C44",
      "value": "4",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "各層百分比＝三語言內占比；「無語言標記」路徑另列（訓練層 1,339,616、搜尋層 478,171、引用型層 12,547＝3.4%、導流 30 天 4 筆）。全期導流累計 420 筆（含無標 7 筆）：英文 283、日文 117、中文 13——三語內占比 68.5%／28.3%／3.1%（中文 n=13 樣本小、對單筆波動敏感）。",
      "subject": "referer_identifiable_ai_human_visits_untagged_language_path",
      "predicate": "count",
      "object": {
        "value_numeric": 4,
        "unit": "referer_recorded_human_visit",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "AI referer 實錄（已排除自家測試與合成流量）",
      "denominator": null,
      "modality": "lower_bound",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。；此 row 的 4 是無語言標記導流；同值的『未導流頁面中位數 4 次』在 v2.1 被字串去重而沒有獨立 row。"
    },
    {
      "id": "C45",
      "value": "420",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "各層百分比＝三語言內占比；「無語言標記」路徑另列（訓練層 1,339,616、搜尋層 478,171、引用型層 12,547＝3.4%、導流 30 天 4 筆）。全期導流累計 420 筆（含無標 7 筆）：英文 283、日文 117、中文 13——三語內占比 68.5%／28.3%／3.1%（中文 n=13 樣本小、對單筆波動敏感）。",
      "subject": "referer_identifiable_ai_human_visits_all_languages",
      "predicate": "count",
      "object": {
        "value_numeric": 420,
        "unit": "referer_recorded_human_visit",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": null,
        "end": "2026-07-12",
        "label": "全期（截至 2026-07-12；來源未指明起始日）"
      },
      "instrument": "AI referer 實錄（已排除自家測試與合成流量）",
      "denominator": null,
      "modality": "lower_bound",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。；time_window.start=null：來源未提供可安全正規化的起始日期。"
    },
    {
      "id": "C46",
      "value": "7",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "各層百分比＝三語言內占比；「無語言標記」路徑另列（訓練層 1,339,616、搜尋層 478,171、引用型層 12,547＝3.4%、導流 30 天 4 筆）。全期導流累計 420 筆（含無標 7 筆）：英文 283、日文 117、中文 13——三語內占比 68.5%／28.3%／3.1%（中文 n=13 樣本小、對單筆波動敏感）。",
      "subject": "referer_identifiable_ai_human_visits_untagged_language_path",
      "predicate": "count",
      "object": {
        "value_numeric": 7,
        "unit": "referer_recorded_human_visit",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": null,
        "end": "2026-07-12",
        "label": "全期（截至 2026-07-12；來源未指明起始日）"
      },
      "instrument": "AI referer 實錄（已排除自家測試與合成流量）",
      "denominator": null,
      "modality": "lower_bound",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。；time_window.start=null：來源未提供可安全正規化的起始日期。"
    },
    {
      "id": "C47",
      "value": "283",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "各層百分比＝三語言內占比；「無語言標記」路徑另列（訓練層 1,339,616、搜尋層 478,171、引用型層 12,547＝3.4%、導流 30 天 4 筆）。全期導流累計 420 筆（含無標 7 筆）：英文 283、日文 117、中文 13——三語內占比 68.5%／28.3%／3.1%（中文 n=13 樣本小、對單筆波動敏感）。",
      "subject": "referer_identifiable_ai_human_visits_en",
      "predicate": "count",
      "object": {
        "value_numeric": 283,
        "unit": "referer_recorded_human_visit",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": null,
        "end": "2026-07-12",
        "label": "全期（截至 2026-07-12；來源未指明起始日）"
      },
      "instrument": "AI referer 實錄（已排除自家測試與合成流量）",
      "denominator": null,
      "modality": "lower_bound",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。；time_window.start=null：來源未提供可安全正規化的起始日期。"
    },
    {
      "id": "C48",
      "value": "117",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "各層百分比＝三語言內占比；「無語言標記」路徑另列（訓練層 1,339,616、搜尋層 478,171、引用型層 12,547＝3.4%、導流 30 天 4 筆）。全期導流累計 420 筆（含無標 7 筆）：英文 283、日文 117、中文 13——三語內占比 68.5%／28.3%／3.1%（中文 n=13 樣本小、對單筆波動敏感）。",
      "subject": "referer_identifiable_ai_human_visits_ja",
      "predicate": "count",
      "object": {
        "value_numeric": 117,
        "unit": "referer_recorded_human_visit",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": null,
        "end": "2026-07-12",
        "label": "全期（截至 2026-07-12；來源未指明起始日）"
      },
      "instrument": "AI referer 實錄（已排除自家測試與合成流量）",
      "denominator": null,
      "modality": "lower_bound",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。；time_window.start=null：來源未提供可安全正規化的起始日期。"
    },
    {
      "id": "C49",
      "value": "13",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "各層百分比＝三語言內占比；「無語言標記」路徑另列（訓練層 1,339,616、搜尋層 478,171、引用型層 12,547＝3.4%、導流 30 天 4 筆）。全期導流累計 420 筆（含無標 7 筆）：英文 283、日文 117、中文 13——三語內占比 68.5%／28.3%／3.1%（中文 n=13 樣本小、對單筆波動敏感）。",
      "subject": "referer_identifiable_ai_human_visits_zh",
      "predicate": "count",
      "object": {
        "value_numeric": 13,
        "unit": "referer_recorded_human_visit",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": null,
        "end": "2026-07-12",
        "label": "全期（截至 2026-07-12；來源未指明起始日）"
      },
      "instrument": "AI referer 實錄（已排除自家測試與合成流量）",
      "denominator": null,
      "modality": "lower_bound",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。；time_window.start=null：來源未提供可安全正規化的起始日期。"
    },
    {
      "id": "C50",
      "value": "68.5%",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "各層百分比＝三語言內占比；「無語言標記」路徑另列（訓練層 1,339,616、搜尋層 478,171、引用型層 12,547＝3.4%、導流 30 天 4 筆）。全期導流累計 420 筆（含無標 7 筆）：英文 283、日文 117、中文 13——三語內占比 68.5%／28.3%／3.1%（中文 n=13 樣本小、對單筆波動敏感）。",
      "subject": "human_ai_referral_share_en",
      "predicate": "share",
      "object": {
        "value_numeric": 68.5,
        "unit": "percent",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": null,
        "end": "2026-07-12",
        "label": "全期（截至 2026-07-12；來源未指明起始日）"
      },
      "instrument": "AI referer 實錄（已排除自家測試與合成流量）",
      "denominator": "全期具語言標記的三語 AI 導流總量（全期 420 筆，含無語言標記 7 筆）",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；time_window.start=null：來源未提供可安全正規化的起始日期。"
    },
    {
      "id": "C51",
      "value": "28.3%",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "各層百分比＝三語言內占比；「無語言標記」路徑另列（訓練層 1,339,616、搜尋層 478,171、引用型層 12,547＝3.4%、導流 30 天 4 筆）。全期導流累計 420 筆（含無標 7 筆）：英文 283、日文 117、中文 13——三語內占比 68.5%／28.3%／3.1%（中文 n=13 樣本小、對單筆波動敏感）。",
      "subject": "human_ai_referral_share_ja",
      "predicate": "share",
      "object": {
        "value_numeric": 28.3,
        "unit": "percent",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": null,
        "end": "2026-07-12",
        "label": "全期（截至 2026-07-12；來源未指明起始日）"
      },
      "instrument": "AI referer 實錄（已排除自家測試與合成流量）",
      "denominator": "全期具語言標記的三語 AI 導流總量（全期 420 筆，含無語言標記 7 筆）",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；time_window.start=null：來源未提供可安全正規化的起始日期。"
    },
    {
      "id": "C52",
      "value": "3.1%",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "各層百分比＝三語言內占比；「無語言標記」路徑另列（訓練層 1,339,616、搜尋層 478,171、引用型層 12,547＝3.4%、導流 30 天 4 筆）。全期導流累計 420 筆（含無標 7 筆）：英文 283、日文 117、中文 13——三語內占比 68.5%／28.3%／3.1%（中文 n=13 樣本小、對單筆波動敏感）。",
      "subject": "human_ai_referral_share_zh",
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        "scale": 1
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      "operator": null,
      "time_window": {
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        "end": "2026-07-12",
        "label": "全期（截至 2026-07-12；來源未指明起始日）"
      },
      "instrument": "AI referer 實錄（已排除自家測試與合成流量）",
      "denominator": "全期具語言標記的三語 AI 導流總量（全期 420 筆，含無語言標記 7 筆）",
      "modality": "assertion",
      "causal": false,
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    },
    {
      "id": "C53",
      "value": "32.5",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "Kuroma 引用 Profound 的跨語言研究（32.5 億筆引用）指出「換一種語言，來源結構天翻地覆」——據其引述，該研究未涵蓋中文。上面這組數字，正好填補了這個缺口——來自單一平台的第一手中文讀數。它所揭示的現實，比「弱勢」更具體：中文內容不是沒被 AI 看到（訓練層三語打平），而是在引用與導流層極少被選中。",
      "subject": "profound_cross_language_citations",
      "predicate": "count",
      "object": {
        "value_numeric": 32.5,
        "unit": "citation_record",
        "scale": 100000000
      },
      "operator": null,
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        "start": null,
        "end": null,
        "label": null
      },
      "instrument": "Kuroma 引述的 Profound 跨語言研究（未涵蓋中文）",
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      "causal_caveat": null,
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      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。；causal_caveat=null：來源未提供此 row 專屬的因果但書。；generalizability=null：來源不足以判定 single_site 或 general。；time_window.start=null：來源未提供可安全正規化的起始日期。；time_window.end=null：來源未提供可安全正規化的結束日期。；time_window.label=null：來源未提供時間標籤。"
    },
    {
      "id": "C54",
      "value": "75,260",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "- ChatGPT-User（答題當下來抓：最愛英文）：英文 75,260／日文 49,171／中文 11,608",
      "subject": "chatgpt_user_fetches_en",
      "predicate": "count",
      "object": {
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        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
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      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "assertion",
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      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
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    },
    {
      "id": "C55",
      "value": "49,171",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "- ChatGPT-User（答題當下來抓：最愛英文）：英文 75,260／日文 49,171／中文 11,608",
      "subject": "chatgpt_user_fetches_ja",
      "predicate": "count",
      "object": {
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        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
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      "denominator": null,
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      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
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    },
    {
      "id": "C56",
      "value": "11,608",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "- ChatGPT-User（答題當下來抓：最愛英文）：英文 75,260／日文 49,171／中文 11,608",
      "subject": "chatgpt_user_fetches_zh",
      "predicate": "count",
      "object": {
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        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
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      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C57",
      "value": "98,739",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "- OAI-SearchBot（建搜尋索引：最愛日文）：日文 98,739／英文 60,729／中文 26,872",
      "subject": "oai_searchbot_fetches_ja",
      "predicate": "count",
      "object": {
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        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
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    },
    {
      "id": "C58",
      "value": "60,729",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "- OAI-SearchBot（建搜尋索引：最愛日文）：日文 98,739／英文 60,729／中文 26,872",
      "subject": "oai_searchbot_fetches_en",
      "predicate": "count",
      "object": {
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        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
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    },
    {
      "id": "C59",
      "value": "26,872",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "- OAI-SearchBot（建搜尋索引：最愛日文）：日文 98,739／英文 60,729／中文 26,872",
      "subject": "oai_searchbot_fetches_zh",
      "predicate": "count",
      "object": {
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        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
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      "join_keys": [
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    },
    {
      "id": "C60",
      "value": "15,264",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "- PerplexityBot（偏英文）：英文 15,264／日文 10,233／中文 6,775",
      "subject": "perplexitybot_fetches_en",
      "predicate": "count",
      "object": {
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        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
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        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
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    },
    {
      "id": "C61",
      "value": "10,233",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "- PerplexityBot（偏英文）：英文 15,264／日文 10,233／中文 6,775",
      "subject": "perplexitybot_fetches_ja",
      "predicate": "count",
      "object": {
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        "label": "近 30 天（2026-06-12 → 2026-07-12）"
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    },
    {
      "id": "C62",
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      "evidence_level": "text_backed",
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      "subject": "perplexitybot_fetches_zh",
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        "label": "近 30 天（2026-06-12 → 2026-07-12）"
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      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
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      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C63",
      "value": "47.9%",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "- 2026-06-17 快照（邊緣口徑）：日 47.9%／英 33.2%／中 9.8%——日文領先幅度 +14.7pp",
      "subject": "citation_type_fetch_share_ja",
      "predicate": "share",
      "object": {
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        "unit": "percent",
        "scale": 1
      },
      "operator": null,
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        "end": "2026-06-17",
        "label": "2026-06-17 快照（邊緣口徑）"
      },
      "instrument": "邊緣網路的請求統計",
      "denominator": "2026-06-17 邊緣口徑引用型抓取總量（含未標語言路徑）",
      "modality": "assertion",
      "causal": false,
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      "join_keys": [
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      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；time_window.start=null：來源未提供可安全正規化的起始日期。"
    },
    {
      "id": "C64",
      "value": "33.2%",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "- 2026-06-17 快照（邊緣口徑）：日 47.9%／英 33.2%／中 9.8%——日文領先幅度 +14.7pp",
      "subject": "citation_type_fetch_share_en",
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      "denominator": "2026-06-17 邊緣口徑引用型抓取總量（含未標語言路徑）",
      "modality": "assertion",
      "causal": false,
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    },
    {
      "id": "C65",
      "value": "9.8%",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "- 2026-06-17 快照（邊緣口徑）：日 47.9%／英 33.2%／中 9.8%——日文領先幅度 +14.7pp",
      "subject": "citation_type_fetch_share_zh",
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      "modality": "assertion",
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    },
    {
      "id": "C66",
      "value": "14.7pp",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "- 2026-06-17 快照（邊緣口徑）：日 47.9%／英 33.2%／中 9.8%——日文領先幅度 +14.7pp",
      "subject": "citation_type_fetch_share_ja_lead_over_en",
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      },
      "instrument": "邊緣網路的請求統計",
      "denominator": "2026-06-17 邊緣口徑引用型抓取總量（含未標語言路徑）",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "time_window.start=null：來源未提供可安全正規化的起始日期。"
    },
    {
      "id": "C67",
      "value": "1.9pp",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "- 2026-07-12 實測（自建儀器口徑）：日 44.6%／英 42.7%／中 12.8%——日文領先幅度 +1.9pp",
      "subject": "citation_type_fetch_share_ja_lead_over_en",
      "predicate": "difference",
      "object": {
        "value_numeric": 1.9,
        "unit": "percentage_point",
        "scale": 1
      },
      "operator": "diff",
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "2026-07-12 實測（近 30 天，自建儀器口徑）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": "該爬蟲層具 /zh/、/ja/、/en/ 路徑標記的三語抓取總量；無語言標記另列不計入",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": ""
    },
    {
      "id": "C68",
      "value": "90.9%",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "註：2026-06-17 快照行三值加總為 90.9%（邊緣口徑含未標語言路徑）；2026-07-12 行為三語言內占比。兩行僅比結構方向。",
      "subject": "edge_snapshot_three_language_share_sum",
      "predicate": "sum",
      "object": {
        "value_numeric": 90.9,
        "unit": "percent",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": null,
        "end": "2026-06-17",
        "label": "2026-06-17 快照（邊緣口徑）"
      },
      "instrument": "邊緣網路的請求統計",
      "denominator": "2026-06-17 邊緣口徑引用型抓取總量（含未標語言路徑）",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；time_window.start=null：來源未提供可安全正規化的起始日期。"
    },
    {
      "id": "C69",
      "value": "25",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "短短 25 天之間，日文的領先幅度就縮小了 12.8 個百分點。無論其中有幾分來自口徑、幾分來自真實移動，「一個月前的份額結構，今天已經對不上」這件事本身，已經成立。本表已排定同儀器複測。",
      "subject": "citation_share_snapshot_interval",
      "predicate": "duration",
      "object": {
        "value_numeric": 25,
        "unit": "day",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-17",
        "end": "2026-07-12",
        "label": "兩次量測之間 25 天（不同儀器口徑）"
      },
      "instrument": "邊緣口徑與自建儀器的跨口徑比較",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C70",
      "value": "12.8",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "短短 25 天之間，日文的領先幅度就縮小了 12.8 個百分點。無論其中有幾分來自口徑、幾分來自真實移動，「一個月前的份額結構，今天已經對不上」這件事本身，已經成立。本表已排定同儀器複測。",
      "subject": "citation_type_fetch_share_ja_lead_reduction",
      "predicate": "difference",
      "object": {
        "value_numeric": 12.8,
        "unit": "percentage_point",
        "scale": 1
      },
      "operator": "diff",
      "time_window": {
        "start": "2026-06-17",
        "end": "2026-07-12",
        "label": "兩次量測之間 25 天（不同儀器口徑）"
      },
      "instrument": "邊緣口徑與自建儀器的跨口徑比較",
      "denominator": "日文相對英文的引用型抓取份額領先幅度",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "無論其中有幾分來自口徑、幾分來自真實移動；兩次量測口徑不同，只能比結構方向。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "legacy dataset_backed 是同值字串命中；此 row 是跨口徑差值，故 verification_status 降為 text_backed。"
    },
    {
      "id": "C71",
      "value": "44.6",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- 換語言，引用結構完全不同（Profound，未含中文） → 訓練層打平；引用層 44.6／42.7／12.8；導流層 74.7／22.0／3.3——差異在引用與導流層。（對上了）",
      "subject": "citation_type_fetch_share_ja",
      "predicate": "share",
      "object": {
        "value_numeric": 44.6,
        "unit": "percent",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": "該爬蟲層具 /zh/、/ja/、/en/ 路徑標記的三語抓取總量；無語言標記另列不計入",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。"
    },
    {
      "id": "C72",
      "value": "42.7",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- 換語言，引用結構完全不同（Profound，未含中文） → 訓練層打平；引用層 44.6／42.7／12.8；導流層 74.7／22.0／3.3——差異在引用與導流層。（對上了）",
      "subject": "citation_type_fetch_share_en",
      "predicate": "share",
      "object": {
        "value_numeric": 42.7,
        "unit": "percent",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": "該爬蟲層具 /zh/、/ja/、/en/ 路徑標記的三語抓取總量；無語言標記另列不計入",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。"
    },
    {
      "id": "C73",
      "value": "74.7",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- 換語言，引用結構完全不同（Profound，未含中文） → 訓練層打平；引用層 44.6／42.7／12.8；導流層 74.7／22.0／3.3——差異在引用與導流層。（對上了）",
      "subject": "human_ai_referral_share_en",
      "predicate": "share",
      "object": {
        "value_numeric": 74.7,
        "unit": "percent",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "AI referer 實錄（已排除自家測試與合成流量）",
      "denominator": "該窗口具 /zh/、/ja/、/en/ 路徑標記的真人 AI 導流；無語言標記另列不計入",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。"
    },
    {
      "id": "C74",
      "value": "22.0",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- 換語言，引用結構完全不同（Profound，未含中文） → 訓練層打平；引用層 44.6／42.7／12.8；導流層 74.7／22.0／3.3——差異在引用與導流層。（對上了）",
      "subject": "human_ai_referral_share_ja",
      "predicate": "share",
      "object": {
        "value_numeric": 22.0,
        "unit": "percent",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "AI referer 實錄（已排除自家測試與合成流量）",
      "denominator": "該窗口具 /zh/、/ja/、/en/ 路徑標記的真人 AI 導流；無語言標記另列不計入",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。"
    },
    {
      "id": "C75",
      "value": "3.3",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- 換語言，引用結構完全不同（Profound，未含中文） → 訓練層打平；引用層 44.6／42.7／12.8；導流層 74.7／22.0／3.3——差異在引用與導流層。（對上了）",
      "subject": "human_ai_referral_share_zh",
      "predicate": "share",
      "object": {
        "value_numeric": 3.3,
        "unit": "percent",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "AI referer 實錄（已排除自家測試與合成流量）",
      "denominator": "該窗口具 /zh/、/ja/、/en/ 路徑標記的真人 AI 導流；無語言標記另列不計入",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。"
    },
    {
      "id": "C76",
      "value": "84%",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "- 引用的上游是第三方報導（84%），且 ChatGPT 偏愛新聞稿型來源 → 我們 420 筆導流中 78% 來自 ChatGPT，且集中在具事實密度的頁面——非品牌自述頁。（對上了）",
      "subject": "third_party_reporting_share_of_upstream_citations",
      "predicate": "share",
      "object": {
        "value_numeric": 84,
        "unit": "percent",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": null,
        "end": null,
        "label": null
      },
      "instrument": "Kuroma 整理的英文市場觀察",
      "denominator": "Kuroma 所述的引用上游來源",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": null,
      "generalizability": null,
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；causal_caveat=null：來源未提供此 row 專屬的因果但書。；generalizability=null：來源不足以判定 single_site 或 general。；time_window.start=null：來源未提供可安全正規化的起始日期。；time_window.end=null：來源未提供可安全正規化的結束日期。；time_window.label=null：來源未提供時間標籤。"
    },
    {
      "id": "C77",
      "value": "78%",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "- 引用的上游是第三方報導（84%），且 ChatGPT 偏愛新聞稿型來源 → 我們 420 筆導流中 78% 來自 ChatGPT，且集中在具事實密度的頁面——非品牌自述頁。（對上了）",
      "subject": "chatgpt_share_of_all_period_ai_referrals",
      "predicate": "share",
      "object": {
        "value_numeric": 78,
        "unit": "percent",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": null,
        "end": "2026-07-12",
        "label": "全期（截至 2026-07-12；來源未指明起始日）"
      },
      "instrument": "AI referer 實錄（已排除自家測試與合成流量）",
      "denominator": "本平台全期 AI 導流累計 420 筆",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；time_window.start=null：來源未提供可安全正規化的起始日期。"
    },
    {
      "id": "C78",
      "value": "4.5",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "- 平台優先序排名；引用半衰期約 4.5 週 → 我們只量自家網域，量不到七引擎的回答組成；半衰期為待測項。（測不到／待測）",
      "subject": "externally_reported_citation_half_life",
      "predicate": "estimate",
      "object": {
        "value_numeric": 4.5,
        "unit": "week",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": null,
        "end": null,
        "label": null
      },
      "instrument": "Kuroma 整理的英文市場觀察；本平台量不到七引擎回答組成",
      "denominator": null,
      "modality": "estimate",
      "causal": false,
      "causal_caveat": null,
      "generalizability": null,
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。；causal_caveat=null：來源未提供此 row 專屬的因果但書。；generalizability=null：來源不足以判定 single_site 或 general。；time_window.start=null：來源未提供可安全正規化的起始日期。；time_window.end=null：來源未提供可安全正規化的結束日期。；time_window.label=null：來源未提供時間標籤。；原 context 明寫半衰期為本平台待測項，不能當成本平台量測。"
    },
    {
      "id": "C79",
      "value": "1.6 倍",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "並行之一——經營日本市場的，日文原文別急著丟。它有獨立的引用價值：在我們門口，OAI-SearchBot 抓日文頁的量，是英文頁的 1.6 倍——日文內容在 OpenAI 的搜尋索引裡，有著超額的存在感。對同時經營日本市場的台灣品牌來說，日文原文本身就是引用型爬蟲的標的，絕不是英文的附屬品。",
      "subject": "oai_searchbot_fetches_ja_to_en",
      "predicate": "ratio",
      "object": {
        "value_numeric": 1.6,
        "unit": "fold",
        "scale": 1
      },
      "operator": "ratio",
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": "OAI-SearchBot 英文頁抓取量 60,729 次",
      "modality": "estimate",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": ""
    },
    {
      "id": "C80",
      "value": "355",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- 曾被 AI 導流的頁面（355 個）：平均被爬取 32.4 次（中位數 14 次）",
      "subject": "pages_with_referer_identifiable_ai_referrals",
      "predicate": "count",
      "object": {
        "value_numeric": 355,
        "unit": "page",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（User-Agent 逐筆訪問記錄＋AI referer 實錄，已排除自家測試與合成流量）",
      "denominator": null,
      "modality": "lower_bound",
      "causal": false,
      "causal_caveat": "這是相關性、不是因果：可能是好內容同時吸引爬蟲與引用，也可能是被引用之後帶來更多爬取——我們的儀器分不開這兩者。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C81",
      "value": "32.4",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- 曾被 AI 導流的頁面（355 個）：平均被爬取 32.4 次（中位數 14 次）",
      "subject": "crawler_fetches_for_pages_with_ai_referrals",
      "predicate": "average",
      "object": {
        "value_numeric": 32.4,
        "unit": "request_per_page",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（User-Agent 逐筆訪問記錄＋AI referer 實錄，已排除自家測試與合成流量）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "這是相關性、不是因果：可能是好內容同時吸引爬蟲與引用，也可能是被引用之後帶來更多爬取——我們的儀器分不開這兩者。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C82",
      "value": "14",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "- 曾被 AI 導流的頁面（355 個）：平均被爬取 32.4 次（中位數 14 次）",
      "subject": "crawler_fetches_for_pages_with_ai_referrals",
      "predicate": "median",
      "object": {
        "value_numeric": 14,
        "unit": "request_per_page",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（User-Agent 逐筆訪問記錄＋AI referer 實錄，已排除自家測試與合成流量）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "這是相關性、不是因果：可能是好內容同時吸引爬蟲與引用，也可能是被引用之後帶來更多爬取——我們的儀器分不開這兩者。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C83",
      "value": "4.8",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "- 從未被導流的頁面：平均被爬取 4.8 次（中位數 4 次）",
      "subject": "crawler_fetches_for_pages_without_ai_referrals",
      "predicate": "average",
      "object": {
        "value_numeric": 4.8,
        "unit": "request_per_page",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（User-Agent 逐筆訪問記錄＋AI referer 實錄，已排除自家測試與合成流量）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "這是相關性、不是因果：可能是好內容同時吸引爬蟲與引用，也可能是被引用之後帶來更多爬取——我們的儀器分不開這兩者。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C84",
      "value": "6.8 倍",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "被引用過的頁面，被爬取的次數是其他頁面的 6.8 倍。⚠️ 這是相關性、不是因果：可能是好內容同時吸引爬蟲與引用，也可能是被引用之後帶來更多爬取——我們的儀器分不開這兩者。但有一件事很確定：在我們的門口，沒有被爬過的頁面，幾乎不曾出現在 AI 的引用名單裡。",
      "subject": "average_crawler_fetches_referred_vs_nonreferred_pages",
      "predicate": "ratio",
      "object": {
        "value_numeric": 6.8,
        "unit": "fold",
        "scale": 1
      },
      "operator": "ratio",
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（User-Agent 逐筆訪問記錄＋AI referer 實錄，已排除自家測試與合成流量）",
      "denominator": "從未產生 AI 導流頁面的平均爬取 4.8 次",
      "modality": "estimate",
      "causal": false,
      "causal_caveat": "這是相關性、不是因果：可能是好內容同時吸引爬蟲與引用，也可能是被引用之後帶來更多爬取——我們的儀器分不開這兩者。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": ""
    },
    {
      "id": "C85",
      "value": "3,000",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "那麼，那 3,000 萬次訓練請求，到底在為我們累積什麼？這是我們手上最大的一個問題，也是這份資料裡最值錢的一條線索。它不只是「入場券」這麼簡單——我們在爬蟲的行為裡看到了一些更深的東西：某些頁面被反覆回訪、某些內容被特定引擎盯上、某些結構被拿走的頻率遠高於其他。被大量訓練請求命中，代表的可能是比「被引用」更早、也更重要的一件事。",
      "subject": "headline_ai_crawler_request_lower_bound",
      "predicate": "count",
      "object": {
        "value_numeric": 3000,
        "unit": "request",
        "scale": 10000
      },
      "operator": null,
      "time_window": {
        "start": null,
        "end": "2026-07-12",
        "label": "五段不重疊窗口實測合計（最早含 3–4 月彙總）"
      },
      "instrument": "邊緣統計＋自建儀器＋搜尋型統計＋早期混合日彙總",
      "denominator": null,
      "modality": "lower_bound",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。；time_window.start=null：來源未提供可安全正規化的起始日期。；方法段明載標題口徑含明確 AI、搜尋型與早期混合流量，不能命名為純訓練型抓取。"
    },
    {
      "id": "C86",
      "value": "30,788,387",
      "scope": "body",
      "evidence_level": "dataset_backed",
      "context": "「3,000 萬 AI 爬蟲請求」口徑：五段不重疊窗口實測合計 30,788,387 次——明確 AI 型 25,185,521（邊緣統計 5/18–6/17 共 15,412,222＋自建儀器 6/18–7/12 共 9,773,299）＋搜尋型 2,363,862（6/18–7/12）＋早期混合日彙總 3,239,004（＝2,363,817〔3–4 月〕＋875,187〔5/01–17〕，已知低估）。搜尋型爬蟲（Googlebot／Bingbot）的抓取如今直接供應 A",
      "subject": "headline_scope_crawler_requests",
      "predicate": "count",
      "object": {
        "value_numeric": 30788387,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": null,
        "end": "2026-07-12",
        "label": "五段不重疊窗口實測合計（最早含 3–4 月彙總）"
      },
      "instrument": "邊緣統計＋自建儀器＋搜尋型統計＋早期混合日彙總",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。；time_window.start=null：來源未提供可安全正規化的起始日期。"
    },
    {
      "id": "C87",
      "value": "25,185,521",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "「3,000 萬 AI 爬蟲請求」口徑：五段不重疊窗口實測合計 30,788,387 次——明確 AI 型 25,185,521（邊緣統計 5/18–6/17 共 15,412,222＋自建儀器 6/18–7/12 共 9,773,299）＋搜尋型 2,363,862（6/18–7/12）＋早期混合日彙總 3,239,004（＝2,363,817〔3–4 月〕＋875,187〔5/01–17〕，已知低估）。搜尋型爬蟲（Googlebot／Bingbot）的抓取如今直接供應 A",
      "subject": "explicit_ai_type_crawler_requests",
      "predicate": "count",
      "object": {
        "value_numeric": 25185521,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": null,
        "end": "2026-07-12",
        "label": "五段不重疊窗口實測合計（最早含 3–4 月彙總）"
      },
      "instrument": "邊緣統計＋自建儀器",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。；time_window.start=null：來源未提供可安全正規化的起始日期。"
    },
    {
      "id": "C88",
      "value": "15,412,222",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "「3,000 萬 AI 爬蟲請求」口徑：五段不重疊窗口實測合計 30,788,387 次——明確 AI 型 25,185,521（邊緣統計 5/18–6/17 共 15,412,222＋自建儀器 6/18–7/12 共 9,773,299）＋搜尋型 2,363,862（6/18–7/12）＋早期混合日彙總 3,239,004（＝2,363,817〔3–4 月〕＋875,187〔5/01–17〕，已知低估）。搜尋型爬蟲（Googlebot／Bingbot）的抓取如今直接供應 A",
      "subject": "explicit_ai_type_crawler_requests_edge",
      "predicate": "count",
      "object": {
        "value_numeric": 15412222,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-05-18",
        "end": "2026-06-17",
        "label": "邊緣統計 5/18–6/17"
      },
      "instrument": "邊緣網路的請求統計",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C89",
      "value": "9,773,299",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "「3,000 萬 AI 爬蟲請求」口徑：五段不重疊窗口實測合計 30,788,387 次——明確 AI 型 25,185,521（邊緣統計 5/18–6/17 共 15,412,222＋自建儀器 6/18–7/12 共 9,773,299）＋搜尋型 2,363,862（6/18–7/12）＋早期混合日彙總 3,239,004（＝2,363,817〔3–4 月〕＋875,187〔5/01–17〕，已知低估）。搜尋型爬蟲（Googlebot／Bingbot）的抓取如今直接供應 A",
      "subject": "explicit_ai_type_crawler_requests_self_built",
      "predicate": "count",
      "object": {
        "value_numeric": 9773299,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-18",
        "end": "2026-07-12",
        "label": "自建儀器 6/18–7/12"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C90",
      "value": "2,363,862",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "「3,000 萬 AI 爬蟲請求」口徑：五段不重疊窗口實測合計 30,788,387 次——明確 AI 型 25,185,521（邊緣統計 5/18–6/17 共 15,412,222＋自建儀器 6/18–7/12 共 9,773,299）＋搜尋型 2,363,862（6/18–7/12）＋早期混合日彙總 3,239,004（＝2,363,817〔3–4 月〕＋875,187〔5/01–17〕，已知低估）。搜尋型爬蟲（Googlebot／Bingbot）的抓取如今直接供應 A",
      "subject": "search_type_crawler_requests",
      "predicate": "count",
      "object": {
        "value_numeric": 2363862,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-18",
        "end": "2026-07-12",
        "label": "搜尋型 6/18–7/12"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C91",
      "value": "3,239,004",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "「3,000 萬 AI 爬蟲請求」口徑：五段不重疊窗口實測合計 30,788,387 次——明確 AI 型 25,185,521（邊緣統計 5/18–6/17 共 15,412,222＋自建儀器 6/18–7/12 共 9,773,299）＋搜尋型 2,363,862（6/18–7/12）＋早期混合日彙總 3,239,004（＝2,363,817〔3–4 月〕＋875,187〔5/01–17〕，已知低估）。搜尋型爬蟲（Googlebot／Bingbot）的抓取如今直接供應 A",
      "subject": "early_mixed_daily_requests",
      "predicate": "count",
      "object": {
        "value_numeric": 3239004,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": null,
        "end": "2026-05-17",
        "label": "早期混合日彙總（3–4 月＋5/01–17）"
      },
      "instrument": "早期混合日彙總",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。；time_window.start=null：來源未提供可安全正規化的起始日期。"
    },
    {
      "id": "C92",
      "value": "2,363,817",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "「3,000 萬 AI 爬蟲請求」口徑：五段不重疊窗口實測合計 30,788,387 次——明確 AI 型 25,185,521（邊緣統計 5/18–6/17 共 15,412,222＋自建儀器 6/18–7/12 共 9,773,299）＋搜尋型 2,363,862（6/18–7/12）＋早期混合日彙總 3,239,004（＝2,363,817〔3–4 月〕＋875,187〔5/01–17〕，已知低估）。搜尋型爬蟲（Googlebot／Bingbot）的抓取如今直接供應 A",
      "subject": "early_mixed_daily_requests_march_april",
      "predicate": "count",
      "object": {
        "value_numeric": 2363817,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": null,
        "end": null,
        "label": "2026 年 3–4 月"
      },
      "instrument": "早期混合日彙總",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。；time_window.start=null：來源未提供可安全正規化的起始日期。；time_window.end=null：來源未提供可安全正規化的結束日期。"
    },
    {
      "id": "C93",
      "value": "875,187",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "「3,000 萬 AI 爬蟲請求」口徑：五段不重疊窗口實測合計 30,788,387 次——明確 AI 型 25,185,521（邊緣統計 5/18–6/17 共 15,412,222＋自建儀器 6/18–7/12 共 9,773,299）＋搜尋型 2,363,862（6/18–7/12）＋早期混合日彙總 3,239,004（＝2,363,817〔3–4 月〕＋875,187〔5/01–17〕，已知低估）。搜尋型爬蟲（Googlebot／Bingbot）的抓取如今直接供應 A",
      "subject": "early_mixed_daily_requests_may_partial",
      "predicate": "count",
      "object": {
        "value_numeric": 875187,
        "unit": "request",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-05-01",
        "end": "2026-05-17",
        "label": "2026-05-01–17"
      },
      "instrument": "早期混合日彙總",
      "denominator": null,
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C94",
      "value": "17",
      "scope": "body",
      "evidence_level": "text_backed",
      "context": "「3,000 萬 AI 爬蟲請求」口徑：五段不重疊窗口實測合計 30,788,387 次——明確 AI 型 25,185,521（邊緣統計 5/18–6/17 共 15,412,222＋自建儀器 6/18–7/12 共 9,773,299）＋搜尋型 2,363,862（6/18–7/12）＋早期混合日彙總 3,239,004（＝2,363,817〔3–4 月〕＋875,187〔5/01–17〕，已知低估）。搜尋型爬蟲（Googlebot／Bingbot）的抓取如今直接供應 A",
      "subject": "early_mixed_daily_summary_window_end",
      "predicate": "time_marker",
      "object": {
        "value_numeric": 17,
        "unit": "day_of_month",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-05-01",
        "end": "2026-05-17",
        "label": "2026-05-01–17"
      },
      "instrument": "早期混合日彙總",
      "denominator": null,
      "modality": "not_applicable",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C95",
      "value": "7040001114326",
      "scope": "body",
      "evidence_level": "self_reported",
      "context": "本專欄由 IDAEO 編輯部製作並發布於 km.idaeo.ai。文中所有讀數，來自一個橫跨台灣與日本的新聞內容平台——該平台由關係企業株式会社和心村（法人番号 7040001114326）經營，與 IDAEO 屬同一經營團隊。",
      "subject": "kabushiki_gaisha_washimura",
      "predicate": "identifier",
      "object": {
        "value_numeric": null,
        "unit": "japanese_corporate_number",
        "scale": null
      },
      "operator": null,
      "time_window": {
        "start": null,
        "end": null,
        "label": null
      },
      "instrument": "發布者自述",
      "denominator": null,
      "modality": "not_applicable",
      "causal": false,
      "causal_caveat": null,
      "generalizability": "single_site",
      "verification_status": "self_reported",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。；causal_caveat=null：來源未提供此 row 專屬的因果但書。；object.value_numeric=null：此 token 是數字外觀的識別碼，或其語意無法由可見來源推出；刻意不轉成量測數字。；object.scale=null：value_numeric 非量測數字，無可適用的倍率。；time_window.start=null：來源未提供可安全正規化的起始日期。；time_window.end=null：來源未提供可安全正規化的結束日期。；time_window.label=null：來源未提供時間標籤。；法人番号雖全為數字，仍是識別碼；value_numeric 與 scale 刻意為 null，禁止當量測值 join。"
    },
    {
      "id": "C96",
      "value": "6.8",
      "scope": "faq",
      "evidence_level": "dataset_backed",
      "context": "A: 不能這樣說。6.8 倍是相關性、不是因果：可能是好內容同時吸引爬蟲與引用，也可能是被引用之後帶來更多回訪爬取——我們的儀器分不開這兩者，必須誠實講。能負責任說的是：在我們的門口，沒被爬過的頁面幾乎不曾出現在 AI 的引用名單裡。",
      "subject": "average_crawler_fetches_referred_vs_nonreferred_pages",
      "predicate": "ratio",
      "object": {
        "value_numeric": 6.8,
        "unit": "fold",
        "scale": 1
      },
      "operator": "ratio",
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（User-Agent 逐筆訪問記錄＋AI referer 實錄，已排除自家測試與合成流量）",
      "denominator": "從未產生 AI 導流頁面的平均爬取 4.8 次",
      "modality": "estimate",
      "causal": false,
      "causal_caveat": "這是相關性、不是因果：可能是好內容同時吸引爬蟲與引用，也可能是被引用之後帶來更多爬取——我們的儀器分不開這兩者。",
      "generalizability": "single_site",
      "verification_status": "dataset_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": ""
    },
    {
      "id": "C97",
      "value": "76.9%",
      "scope": "faq",
      "evidence_level": "text_backed",
      "context": "A: 擋之前先想清楚代價。訓練型爬蟲佔我們全部爬取的 76.9%（30 天 11,675,206 次），它們確實不帶客人；但它們是 AI「認識你」的唯一途徑。擋掉訓練型爬蟲，等於不讓自己的書進圖書館，然後抱怨沒人借。除非有明確的版權或商業機密考量，否則別急著關門。",
      "subject": "training_type_fetch_share_of_all_crawls",
      "predicate": "share",
      "object": {
        "value_numeric": 76.9,
        "unit": "percent",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": "近 30 天全部爬蟲抓取 15,174,060 次",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。"
    },
    {
      "id": "C98",
      "value": "1,167",
      "scope": "faq",
      "evidence_level": "text_backed",
      "context": "A: 看 User-Agent。訓練型：GPTBot、ClaudeBot、Google AI、Meta AI 等（抓回去訓練，不導流）。引用型：ChatGPT-User、OAI-SearchBot、PerplexityBot 等（AI 答題或建索引時來取材，可能帶人來）。搜尋型：Googlebot、Bingbot（傳統搜尋索引，如今也供應 AI Overviews）。三層的量級差很多：我們 30 天分別是 1,167 萬／36.7 萬／311 萬次。",
      "subject": "training_type_crawler_fetches_rounded",
      "predicate": "count",
      "object": {
        "value_numeric": 1167,
        "unit": "request",
        "scale": 10000
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "estimate",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C99",
      "value": "36.7",
      "scope": "faq",
      "evidence_level": "text_backed",
      "context": "A: 看 User-Agent。訓練型：GPTBot、ClaudeBot、Google AI、Meta AI 等（抓回去訓練，不導流）。引用型：ChatGPT-User、OAI-SearchBot、PerplexityBot 等（AI 答題或建索引時來取材，可能帶人來）。搜尋型：Googlebot、Bingbot（傳統搜尋索引，如今也供應 AI Overviews）。三層的量級差很多：我們 30 天分別是 1,167 萬／36.7 萬／311 萬次。",
      "subject": "citation_type_crawler_fetches_rounded",
      "predicate": "count",
      "object": {
        "value_numeric": 36.7,
        "unit": "request",
        "scale": 10000
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "estimate",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C100",
      "value": "311",
      "scope": "faq",
      "evidence_level": "text_backed",
      "context": "A: 看 User-Agent。訓練型：GPTBot、ClaudeBot、Google AI、Meta AI 等（抓回去訓練，不導流）。引用型：ChatGPT-User、OAI-SearchBot、PerplexityBot 等（AI 答題或建索引時來取材，可能帶人來）。搜尋型：Googlebot、Bingbot（傳統搜尋索引，如今也供應 AI Overviews）。三層的量級差很多：我們 30 天分別是 1,167 萬／36.7 萬／311 萬次。",
      "subject": "search_type_crawler_fetches_rounded",
      "predicate": "count",
      "object": {
        "value_numeric": 311,
        "unit": "request",
        "scale": 10000
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": null,
      "modality": "estimate",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；denominator=null：此 row 非 share／ratio，且來源未定義分母。"
    },
    {
      "id": "C101",
      "value": "33%",
      "scope": "faq",
      "evidence_level": "dataset_backed",
      "context": "A: 我們的數據回答不了「為什麼」，只能告訴你差距發生在哪一層：訓練層三語幾乎打平（各約 33%），代表 AI 學中文內容並不少；差距出現在引用型抓取（中文 12.8%）與真人導流（中文 3.3%）。也就是說，中文內容不是沒被看到，是走到「要不要選你當答案來源」那一關時極少被選中。原因（語言模型的訓練分布？使用者提問語言？來源權重？）我們的儀器分不開，不會亂猜。",
      "subject": "training_type_fetch_share_each_language_rounded",
      "predicate": "share",
      "object": {
        "value_numeric": 33,
        "unit": "percent",
        "scale": 1
      },
      "operator": null,
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "近 30 天（2026-06-12 → 2026-07-12）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": "該爬蟲層具 /zh/、/ja/、/en/ 路徑標記的三語抓取總量；無語言標記另列不計入",
      "modality": "estimate",
      "causal": false,
      "causal_caveat": "原因（語言模型的訓練分布？使用者提問語言？來源權重？）我們的儀器分不開，不會亂猜。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "operator=null：此 row 不是 ratio／比較型，依 v2.2 規則為 null。；legacy dataset_backed 僅為數字命中；『各約 33%』是正文概括值，故 verification_status 為 text_backed。"
    },
    {
      "id": "C102",
      "value": "14.7",
      "scope": "faq",
      "evidence_level": "text_backed",
      "context": "A: 比你想的快。同一批內容，我們前後兩次量測之間（25 天），日文在引用型抓取的領先幅度就從 14.7 個百分點縮到 1.9 個百分點。任何「AI 偏好某某平台／某某語言」的排序，都必須標日期並持續重測——包括這一篇。",
      "subject": "citation_type_fetch_share_ja_lead_over_en",
      "predicate": "difference",
      "object": {
        "value_numeric": 14.7,
        "unit": "percentage_point",
        "scale": 1
      },
      "operator": "diff",
      "time_window": {
        "start": null,
        "end": "2026-06-17",
        "label": "2026-06-17 快照（邊緣口徑）"
      },
      "instrument": "邊緣網路的請求統計",
      "denominator": "2026-06-17 邊緣口徑引用型抓取總量（含未標語言路徑）",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": "time_window.start=null：來源未提供可安全正規化的起始日期。"
    },
    {
      "id": "C103",
      "value": "1.9",
      "scope": "faq",
      "evidence_level": "text_backed",
      "context": "A: 比你想的快。同一批內容，我們前後兩次量測之間（25 天），日文在引用型抓取的領先幅度就從 14.7 個百分點縮到 1.9 個百分點。任何「AI 偏好某某平台／某某語言」的排序，都必須標日期並持續重測——包括這一篇。",
      "subject": "citation_type_fetch_share_ja_lead_over_en",
      "predicate": "difference",
      "object": {
        "value_numeric": 1.9,
        "unit": "percentage_point",
        "scale": 1
      },
      "operator": "diff",
      "time_window": {
        "start": "2026-06-12",
        "end": "2026-07-12",
        "label": "2026-07-12 實測（近 30 天，自建儀器口徑）"
      },
      "instrument": "自建爬蟲量測系統（依 User-Agent 識別數十家爬蟲的逐筆訪問記錄）",
      "denominator": "該爬蟲層具 /zh/、/ja/、/en/ 路徑標記的三語抓取總量；無語言標記另列不計入",
      "modality": "assertion",
      "causal": false,
      "causal_caveat": "evidence-core-v2.1：不證明可外推全網或存在因果。",
      "generalizability": "single_site",
      "verification_status": "text_backed",
      "join_keys": [
        "subject",
        "predicate",
        "time_window",
        "object.unit",
        "instrument",
        "denominator"
      ],
      "not_joinable_by_value_alone": true,
      "$comment": ""
    }
  ],
  "previous_sha256": "f97c8b4e17ed092c88b8bb40397da89649bf4d6e1d0dcc63e089ce11f980eaa9",
  "canonicalization": "UTF-8；JSON key 字典序（code point）；separators (,,:)；無多餘空白；來源文件不得含重複 key（本承諾之來源檔以 JSON 物件唯一 key 產生）；數值以原字串保存不做數學正規化。⚠️ 已知不完備：本規格未固定 Unicode 正規化形式（NFC/NFD），亦非 RFC 8785/JCS 完整 profile；跨 runtime 複驗若遇差異，以本檔 canonical_bytes 與 canonical-<version>.bin 的實際位元組為準。",
  "semantic_enrichment_scope": "semantic annotations over retained public-claims-v2.1 token rows; not an occurrence-complete re-extraction",
  "semantic_enrichment_limitations": [
    "v2.1 deduplicated numeric lexemes, so a repeated value in different occurrences may have only one retained row; v2.2 does not invent the missing occurrences because claim_count must remain immutable.",
    "verification_status evaluates the retained row's semantic alignment using available public inputs; legacy evidence_level is preserved unchanged as provenance and may differ.",
    "object.scale is the multiplier from the numeric token to the base count when the text uses 萬 or 億; ordinary units use scale 1.",
    "previous_sha256 commits only to v2.1 public-claims canonical bytes; it does not independently attest ai.md semantics or source-system truth."
  ],
  "verification_status_distribution": {
    "dataset_backed": 36,
    "self_reported": 1,
    "text_backed": 66
  }
}