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Claim LD06-SL-C29 (v1.0)

Of 8,931 mentions of the 50 most used language models in 5,242 biomedical publications from 2022 to March 2026, 77.7% were of closed commercial models, and 42% involved a model already retired when the paper was published or scheduled to retire within two years.

Provenance and status

Claim type
ESTIMATE (as printed: “ESTIMATE”)
Publication status
ELIGIBLE (PREPRINT) (as printed: “ELIGIBLE WITH PREPRINT QUALIFIER”)
Verification state
CONTENT_VERIFIED_PRIMARY (ABSTRACT_ONLY) (as printed: “CONTENT VERIFIED ABSTRACT”; verified by: UNKNOWN)
Does not license
A rate for fields other than biomedicine
Source (field 6, as printed)
Wolfrath, Conroy, Kosten, Bell, Neupane, Kindel et al., “Model Retirement Creates Reproducibility Risk in Biomedical AI Publications,” arXiv:2609.04699, September 2026
Source type (field 7)
PREPRINT (as printed: “Preprint”)
Institutional position
Independent academic
Maturity (claim evidence / publication maturity)
EMERGING (as printed: “EMERGING”)
Recorded date
2026-10-15
Currentness / correction
This is the current version. No correction or concern relation is recorded on its Sources.

Version

Pinned version v1.0 (entry LD06-SL-C29--v1.0) — this page never floats to newer evidence.

This pinned version is also the current version.

Versions:v1.0 · current

Pinned Sources (field 6, version-specific)

All 25 canonical Claim fields (raw values and normalized values)
#Canonical fieldCanonical value (verbatim)Normalized (Claim Value Vocabulary v1.0.2)
1CLAIM IDLD06-SL-C29—
2PUBLIC-FACING CLAIMOf 8,931 mentions of the 50 most used language models in 5,242 biomedical publications from 2022 to March 2026, 77.7% were of closed commercial models, and 42% involved a model already retired when the paper was published or scheduled to retire within two years.—
3CLAIM TYPEESTIMATEbase_types: ESTIMATE
4RESEARCH STRANDC — Evaluation in governance, audits and red-teaming—
5MATURITYEMERGINGstates: EMERGING
6SOURCEWolfrath, Conroy, Kosten, Bell, Neupane, Kindel et al., “Model Retirement Creates Reproducibility Risk in Biomedical AI Publications,” arXiv:2609.04699, September 2026source_ids: SRC-SL-WOLFRATH-ET-AL-MODEL-RETIREMENT-ARXIV-2609-04699
7SOURCE TYPEPreprintclasses: PREPRINT
8INSTITUTIONAL POSITIONIndependent academic—
9SCOPEPubMed original research applying a specific language model to a biomedical task—
10DESIGNAgent-assisted extraction from abstracts, validated on a subset; lifecycle data for the top 50 models—
11SAMPLE / DATASET61,077 abstracts screened; 5,242 publications—
12MODEL / TOOL / VERSIONThe 50 most frequently used models—
13COMPARATORProviders’ retirement dates—
14MAIN RESULT77.7% closed-weight commercial; 42% retired by publication or within two years; median 538 days from publication to retirement—
15INFERENTIAL TARGETHow far published evaluations of closed models can be reproduced later—
16DOES NOT LICENSEA rate for fields other than biomedicine—
17VERIFICATION STATECONTENT VERIFIED ABSTRACTstate: CONTENT_VERIFIED_PRIMARY · qualifiers: ABSTRACT_ONLY · verified_by: UNKNOWN
18LIMITATIONSRead in abstract only; very recent preprint; an extraction agent read the abstracts—
19CONTRADICTORY / SUPPORTING SOURCESBears on the Field Map unknown of independent evaluation under API retirement—
20GEOGRAPHY / LANGUAGENot checked / English—
21DISTRIBUTIONAL LEDGERNot analysed in this claim—
22R01 / FIELD-MAP LINKSLD-06, D4b—
23WHAT WOULD CHANGE THIS CLAIM?Replication in other fields; evidence on actual re-run failures—
24PUBLICATION STATUSELIGIBLE WITH PREPRINT QUALIFIERstate: ELIGIBLE · qualifiers: PREPRINT
25RECORDED DATE2026-10-15—

Field 22 references resolved against Field Map v0.2: LD-06 (LIVING_DEBATE); D4b (SUB_AREA)

Cited by Living Debate versions

Research-of-record provenance

Materialized by sociolens-materializer 0.6.0 at 2026-09-28T20:00:00.000Z; normalization contract SocioLens — Claim Value Vocabulary v1.0.2 — Pre-Spike Materialization Contract (v1.0.2). Content seal SHA-256 f470a1500e21d14933473e9999c29504a9df120746f3016225efbb54c8aaec60.

Repository-authored inputs (not Drive exports)

  • SocioLens claim — LD06-SL-C29 v1.0 (v1.0) — written in the SocioLens repository by Project Lead (Claude, AI) on 2026-10-15; no Drive identity exists. Authority: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 15 October 2026 to build the LD-06 debate; a new Claim, first version, written from the project's LD-06 source notes, checked against full texts or official abstracts. Block “ENTRY 29 — LD06-SL-C29” SHA-256 e20cd94d4bbac28e9f949f729b460c39c746f8f41a6fe6759800826307136d98; fixture fixtures/authored/claims/LD06-SL-C29--v1.0.

Builder decisions (not Drive data)

  • VERSION = v1.0 — basis: Claim version taken from the repository-authored claim fixture version (SocioLens claim — LD06-SL-C29 v1.0); the first version of a new Claim of the LD-06 debate
  • CURRENT_POINTER = true — basis: repository-authored claim "SocioLens claim — LD06-SL-C29 v1.0" (Project Lead (Claude, AI), 2026-10-15); basis: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 15 October 2026 to build the LD-06 debate; a new Claim, first version, written from the project's LD-06 source notes, checked against full texts or official abstracts
  • FIELD_6_SOURCE_REFERENCE = SRC-SL-WOLFRATH-ET-AL-MODEL-RETIREMENT-ARXIV-2609-04699--v1.0 — basis: field 6 of ENTRY 29 — LD06-SL-C29 cites "Wolfrath, Conroy, Kosten, Bell, Neupane, Kindel et al., “Model Retirement Creates Reproducibility Risk in Biomedical AI Publications,” arXiv:2609.04699, September 2026"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
  • SOURCE_PROVENANCE_PIN = SRC-SL-WOLFRATH-ET-AL-MODEL-RETIREMENT-ARXIV-2609-04699--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Wolfrath, Conroy, Kosten, Bell, Neupane, Kindel et al., “Model Retirement Creates Reproducibility Risk in Biomedical AI Publications,” arXiv:2609.04699, September 2026".