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 "@context": "https://schema.org",
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 "@id": "https://wulfkaal.github.io/positions/2026-07-31-2010",
 "identifier": "kaal:position:2026-07-31-2010",
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 "name": "Historical 306F23541A968108A2Ff",
 "text": "Teaching Model Context Protocol, Retrieval-Augmented Generation, and AI Agents to a Multidisciplinary Hospital Workforce: Single-Group Pre-Post Survey Study (Preprint) should be assessed against Kaal's source-bound claim that Retrieval-augmented generation reduces but does not eliminate hallucination: leading legal research tools including Lexis+AI and Westlaw AI-Assisted Research still generate false citations or facts in 17 to 33 percent of cases. 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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 "dateModified": "2026-07-31",
 "creativeWorkStatus": "Affirmed",
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  "as measured at the time of the cited study; the authors note rates are progressively improving",
  "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."
 ],
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  "name": "Teaching Model Context Protocol, Retrieval-Augmented Generation, and AI Agents to a Multidisciplinary Hospital Workforce: Single-Group Pre-Post Survey Study (Preprint)",
  "url": "https://www.semanticscholar.org/paper/49108268563f803e086287c593b41aad83522280"
 },
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  "url": "https://wulfkaal.github.io/claims/5541658-007",
  "citation": "Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law (2025). SSRN: https://ssrn.com/abstract=5541658",
  "paper": "Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2025",
  "ssrn": "https://ssrn.com/abstract=5541658",
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   "@type": "CreativeWork",
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  }
 ],
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 "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.",
 "isPartOf": {
  "@id": "https://wulfkaal.github.io/positions/index.json"
 },
 "version": "1.0",
 "canonical_url": "https://wulfkaal.github.io/positions/2026-07-31-2010",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-2010.md",
 "candidateId": "kaal:response-candidate:2026-07-31:28cbf2fbdd9923dc",
 "evidenceLevel": "metadata only",
 "reviewTier": "mapping review before claim review",
 "mappingConfidence": 0.2616,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: retrieval, augmented, generation. Scope: RAG-based commercial legal research platforms; as measured at the time of the cited study; the authors note rates are progressively improving.",
 "sourceProvenance": {
  "source": "Semantic Scholar",
  "api": "https://api.semanticscholar.org/graph/v1/paper/search/bulk",
  "query": "model context protocol",
  "queryId": "concept:9c5da690faad",
  "page": 1,
  "sourceRank": 285,
  "retrievedAt": "2026-07-31T13:58:04.059Z",
  "citationCount": 0,
  "venue": "JMIR Medical Education",
  "publicationTypes": [
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   "Review"
  ]
 },
 "userAffirmation": "Approved as written by Wulf A. Kaal on 2026-07-31.",
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