{
 "@context": "https://schema.org",
 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-07-31-5677",
 "identifier": "kaal:position:2026-07-31-5677",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Historical 3Dcd16F2A699Abb550A6",
 "text": "Deciphering and engineering chromodomain-methyllysine peptide recognition should be assessed against Kaal's source-bound claim that When an encoded legal status or act is disputed, the code is read against the party who selected the programme or determined the manner of coding, because the other party had no influence over it; the Codex names this in dubio contra programmatorem. The current metadata indicates a plausible connection through dynamic regulation, 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"
 },
 "datePublished": "2026-07-31",
 "dateModified": "2026-07-31",
 "creativeWorkStatus": "Affirmed",
 "responseType": "qualification",
 "keywords": [
  "defi",
  "open-source-and-code",
  "risk-and-incentives",
  "smart-contracts"
 ],
 "scope_conditions": [
  "disputes over the interpretation of encoded legal statuses and acts",
  "External evidence level: abstract indexed.",
  "Mapping review tier: ambiguity triage before claim review.",
  "The literature-to-claim mapping remains explicitly ambiguous and should not be treated as a settled equivalence."
 ],
 "currentDebate": {
  "name": "Deciphering and engineering chromodomain-methyllysine peptide recognition",
  "url": "https://www.semanticscholar.org/paper/7ca363c1be0a465387175780cda7322c0ffc8400"
 },
 "extends": {
  "identifier": "kaal:claim:5886342-010",
  "url": "https://wulfkaal.github.io/claims/5886342-010",
  "citation": "Furrer Andreas, Wulf A. Kaal, Stephan D. Meyer, Universal Digital Law Codex (UDLC) (2025). SSRN: https://ssrn.com/abstract=5886342",
  "paper": "Wulf A. Kaal, Stephan D. Meyer, Universal Digital Law Codex (UDLC)",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2025",
  "ssrn": "https://ssrn.com/abstract=5886342",
  "source_pdf_sha256": "dc456a1ce2ea4a356dbcb35dc900ec36be94b8c9b6da4a2c8c268d6301f66359"
 },
 "isBasedOn": [
  {
   "@id": "https://wulfkaal.github.io/claims/5886342-010"
  },
  {
   "@type": "CreativeWork",
   "name": "Deciphering and engineering chromodomain-methyllysine peptide recognition",
   "url": "https://www.semanticscholar.org/paper/7ca363c1be0a465387175780cda7322c0ffc8400"
  }
 ],
 "batch_id": "historical-backfill:2026-07-31:phase-0023",
 "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/2026-07-31-5677",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-5677.md",
 "candidateId": "kaal:response-candidate:2026-07-31:40b1744541f88fe7",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "ambiguity triage before claim review",
 "mappingConfidence": 0.1971,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: interpreted, other. Scope: disputes over the interpretation of encoded legal statuses and acts.",
 "sourceProvenance": {
  "source": "Semantic Scholar",
  "api": "https://api.semanticscholar.org/graph/v1/paper/search/bulk",
  "query": "dynamic regulation",
  "queryId": "concept:516a267369f9",
  "page": 4,
  "sourceRank": 3706,
  "retrievedAt": "2026-07-31T13:58:16.518Z",
  "citationCount": 20,
  "venue": "Science Advances",
  "publicationTypes": [
   "JournalArticle"
  ]
 },
 "userAffirmation": "Approved as written by Wulf A. Kaal on 2026-07-31.",
 "sha256": "ae5e395da974b781e3be7586dc95d40637695f8f993eb207355a762f89f3e265"
}