{
 "row": "ai-overview-capture-registry",
 "address": "ai overview capture registry",
 "entity": "The AI Overview Capture Registry (EA-WG-CAPTURES-01), Lee Sharks's longitudinal dataset of machine-mediated reception events, at alexanarch.org/captures/ (gallery, one record page per capture, data/EA-WG-CAPTURES-01.json); founded 2026-06 (#833, 'a Founding Dataset for Machine-Mediated Reception Studies'), its name and first public date claimed in #1459 (2026-08-13), last deposited whole at v12.167 (#1676), its PER recalculated in #1694",
 "procedure": "EA-NEGONT-02 v0.7 §3.4 (D/R/O), working; not frozen",
 "config": {
  "row": "ai-overview-capture-registry",
  "address": "ai overview capture registry",
  "entity": "The AI Overview Capture Registry (EA-WG-CAPTURES-01), Lee Sharks's longitudinal dataset of machine-mediated reception events, at alexanarch.org/captures/ (gallery, one record page per capture, data/EA-WG-CAPTURES-01.json); founded 2026-06 (#833, 'a Founding Dataset for Machine-Mediated Reception Studies'), its name and first public date claimed in #1459 (2026-08-13), last deposited whole at v12.167 (#1676), its PER recalculated in #1694",
  "row_type": "A (the archive's own dataset), its exact name composed as a generic enterprise category",
  "aliases": [
   {
    "pattern": "\\bai overview capture registry\\b",
    "flags": "i"
   },
   {
    "pattern": "\\bcapture registry\\b",
    "flags": "i"
   },
   {
    "pattern": "\\bEA-WG-CAPTURES-01\\b",
    "flags": ""
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   {
    "pattern": "\\bmachine-mediated reception\\b",
    "flags": "i"
   },
   {
    "pattern": "\\bcaptures gallery\\b",
    "flags": "i"
   }
  ],
  "classes": [],
  "classes_note": "O-class not run on this pass: the field B supplies classes for other things sharing words with the name (enterprise AI registries, AI Overview trackers and scrapers), not for the registry, and none of its sources names the registry; the archive's own classes for the registry (a longitudinal research instrument, a founding dataset for machine-mediated reception studies, the Wound Gauge) are reached by the aliases. The aliases are the registry's proper name, its short name, its identifier, the field it founds and its gallery; 'capture registry' and 'machine-mediated reception' are broad and return many deposits that name the registry only as the place a capture is seated. Admission by reading (§3.4): a candidate is admitted when its sentence or paragraph makes a claim bearing on the registry (what it is, what a capture is, its method and protocol, its scoring and the PER and its dimensions, its priority and name, its versions, editions and surfaces, its reception as the archive records it); a header line, a related-identifier list, a link list, a citation of a capture slug or a bare mention of the registry as where a capture is kept is not a claim. A capture's transcript quoted in a deposit is reception, not an archive claim. The field's categories (enterprise AI registries such as Atlan, Collibra, trail, Alation; AI Overview trackers and scrapers such as Honeyb AI, Scrape.do, Octoparse, Advanced Web Ranking) are outside the alias set: none of their sources uses the name.",
  "exclude_deposits": [],
  "notes": "entity-keyed pass, 2026-10-20, on the brief rebuild/negative-of-the-negative/v09/BRIEF-NEW-ROW-ai-overview-capture-registry.md; address 'ai overview capture registry' (T, ai-overview-capture-registry-20261020, OBS-7d3e2c7bfa66), Google AI Overview (expanded), signed out, incognito."
 },
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  "R_sentences": 372,
  "R_deposits": 156,
  "O_direct": 877,
  "O_class": 0,
  "O_deposits": 222,
  "H_candidates": 0
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   "dep": 825,
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   "dep": 825,
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  },
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    "subject": "EA-PER-RECALC-01 — The Provenance Erasure Rate Recalculated across the Capture Registry: Method, Loc",
    "predicate": "created_by",
    "object": "Sharks, Lee",
    "type": "work",
    "evidence_status": "observed"
   }
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   "dep": 1694,
   "triple": {
    "subject": "EA-PER-RECALC-01 — The Provenance Erasure Rate Recalculated across the Capture Registry: Method, Loc",
    "predicate": "is_type",
    "object": "Dataset; the description of the recalculation of the Provenance Erasure Rate across the AI Overview Capture Registry, with the scores rehearsed",
    "type": "work",
    "evidence_status": "observed"
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  },
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   "dep": 1694,
   "triple": {
    "subject": "EA-PER-RECALC-01 — The Provenance Erasure Rate Recalculated across the Capture Registry: Method, Loc",
    "predicate": "belongs_to_family",
    "object": "DATASET",
    "type": "work",
    "evidence_status": "observed"
   }
  },
  {
   "dep": 1694,
   "triple": {
    "subject": "EA-PER-RECALC-01 — The Provenance Erasure Rate Recalculated across the Capture Registry: Method, Loc",
    "predicate": "is_part_of",
    "object": "Crimson Hexagonal Archive",
    "type": "work",
    "evidence_status": "observed"
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  }
 ],
 "integrity_S5": [],
 "sha256": {
  "candidates-D.jsonl": "fcade4c30ca937f8491e9f48e47399114c778a84f8677c1046b2754cb940ce17",
  "candidates-R.jsonl": "553495e20b6d9e5e7a911a13d829db8bd020c0c8b4605f11a79c65cf938ce8c2",
  "candidates-O.jsonl": "331b4debd5214de5a961bdbecd6c882955c62701cd75a24b738644630b6d878d",
  "candidates-H.jsonl": null
 },
 "category_vocabulary": {
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 },
 "note": "Candidates by string only. Admission by reading, recorded in the row's reading file; nothing here is admitted."
}