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 "@id": "https://wulfkaal.github.io/positions/2026-07-31-1792",
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 "name": "Historical D195795F081Bcdf810D7",
 "text": "LLM-enabled automation of CAD-structural analysis via Model Context Protocol should be assessed against Kaal's source-bound claim that Automating annotation to gain speed and cost savings produces less nuanced labeling that misses the complex human judgments and context certain AI applications require. The current metadata indicates a plausible connection through model context protocol, but the defensible response is a qualification until the source text confirms agreement, scope, methods, and limitations.",
 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
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 "datePublished": "2026-07-31",
 "dateModified": "2026-07-31",
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 "scope_conditions": [
  "automation-heavy annotation workflows such as those of Hive and V7 Labs",
  "External evidence level: metadata only.",
  "Mapping review tier: mapping review before claim review.",
  "The literature-to-claim mapping remains explicitly ambiguous and should not be treated as a settled equivalence."
 ],
 "currentDebate": {
  "name": "LLM-enabled automation of CAD-structural analysis via Model Context Protocol",
  "url": "https://www.semanticscholar.org/paper/6ed4fed22b63d5b6cbd12802f3ca3281e64fb7eb"
 },
 "extends": {
  "identifier": "kaal:claim:5095633-020",
  "url": "https://wulfkaal.github.io/claims/5095633-020",
  "citation": "Wulf A. Kaal, Artificial Intelligence The Final Frontier (2025). SSRN: https://ssrn.com/abstract=5095633",
  "paper": "Artificial Intelligence The Final Frontier",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2025",
  "ssrn": "https://ssrn.com/abstract=5095633",
  "source_pdf_sha256": "cbb484711f89bcefc9fc6a5730a1ed0a3f764d7999ad9b6f7d8ea05634c26c63"
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   "@id": "https://wulfkaal.github.io/claims/5095633-020"
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   "@type": "CreativeWork",
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   "url": "https://www.semanticscholar.org/paper/6ed4fed22b63d5b6cbd12802f3ca3281e64fb7eb"
  }
 ],
 "batch_id": "historical-backfill:2026-07-31:phase-0008",
 "review_provenance": "https://kaal-signal-desk.wulf577462.chatgpt.site/#review",
 "publicationStatus": "public",
 "recordTypeNote": "Dated commentary position extending a scholarly corpus claim. Not a verbatim claim extracted from the paper.",
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 "version": "1.0",
 "canonical_url": "https://wulfkaal.github.io/positions/2026-07-31-1792",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-1792.md",
 "candidateId": "kaal:response-candidate:2026-07-31:1ab7b48c9904ec80",
 "evidenceLevel": "metadata only",
 "reviewTier": "mapping review before claim review",
 "mappingConfidence": 0.2734,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: automation, context. Scope: automation-heavy annotation workflows such as those of Hive and V7 Labs.",
 "sourceProvenance": {
  "source": "Semantic Scholar",
  "api": "https://api.semanticscholar.org/graph/v1/paper/search/bulk",
  "query": "model context protocol",
  "queryId": "concept:9c5da690faad",
  "page": 1,
  "sourceRank": 432,
  "retrievedAt": "2026-07-31T13:58:04.059Z",
  "citationCount": 0,
  "venue": "Automation in Construction",
  "publicationTypes": [
   "JournalArticle"
  ]
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 "userAffirmation": "Approved as written by Wulf A. Kaal on 2026-07-31.",
 "sha256": "aabfd332a15f309fb21f0a341c54f0bdaf54bd0ff858de4b26de5befc77f9e01"
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