Evidence Use and Identifier-Conditioned Prior Knowledge in Large Language Model Classification of Oncology Trials Assessed Through Progressive Content Removal and Counterfactual Testing: Comparative Analysis
- DOI
- 10.2196/95565
- Published
- 2026-07-29
- Container
- JMIR AI
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.2196/95565,
title = {Evidence Use and Identifier-Conditioned Prior Knowledge in Large Language Model Classification of Oncology Trials Assessed Through Progressive Content Removal and Counterfactual Testing: Comparative Analysis},
author = {Paul Windisch and Carole Koechli and Fabio Dennstädt and Daniel M Aebersold and Daniel R Zwahlen and Robert Förster and Christina Schröder},
year = {2026},
journal = {JMIR AI},
doi = {10.2196/95565},
url = {https://doi.org/10.2196/95565}
}RIS
TY - JOUR TI - Evidence Use and Identifier-Conditioned Prior Knowledge in Large Language Model Classification of Oncology Trials Assessed Through Progressive Content Removal and Counterfactual Testing: Comparative Analysis AU - Paul Windisch AU - Carole Koechli AU - Fabio Dennstädt AU - Daniel M Aebersold AU - Daniel R Zwahlen AU - Robert Förster AU - Christina Schröder PY - 2026 JO - JMIR AI DO - 10.2196/95565 UR - https://doi.org/10.2196/95565 ER -
APA
Windisch, P., Koechli, C., Dennstädt, F., Aebersold, D. M., Zwahlen, D. R., Förster, R., & Schröder, C. (2026). Evidence Use and Identifier-Conditioned Prior Knowledge in Large Language Model Classification of Oncology Trials Assessed Through Progressive Content Removal and Counterfactual Testing: Comparative Analysis. JMIR AI. https://doi.org/10.2196/95565
Source records
- crossref · retrieved 2026-09-25T00:00:57.430Z