extract: 2025-01-01-jmir-e78132-llm-nursing-care-plan-sociodemographic-bias
- Factual accuracy — The added evidence from JMIR 2025 accurately describes a study where expert nurses exhibited demographic bias when evaluating AI-generated nursing care plans, which…
extract: 2026-03-23-openevidence-model-opacity-safety-disclosure-absence
- Factual accuracy — The claims are factually correct, and the added evidence from the new source supports the existing assertions.
- Intra-PR duplicates — There are no intra-PR…
extract: 2026-03-15-nct07328815-behavioral-nudges-automation-bias-mitigation
Vida Domain Peer Review — PR #1659
NCT07328815: Behavioral Nudges / Automation Bias Mitigation
What this PR actually does
This is an enrichment, not a new standalone claim. The…
extract: 2026-03-15-nct07328815-behavioral-nudges-automation-bias-mitigation
- Factual accuracy — The new evidence accurately describes the NCT07328815 study as a trial investigating behavioral nudges to mitigate automation bias, building on a previous study…
extract: 2026-03-09-mount-sinai-multi-agent-clinical-ai-nphealthsystems
- Factual accuracy — The new evidence added to the claim "human-in-the-loop clinical AI degrades to worse-than-AI-alone because physicians both de-skill from reliance and introduce errors…
extract: 2026-02-10-klang-lancet-dh-llm-medical-misinformation
- Factual accuracy — The claim accurately integrates the new evidence from the Klang et al. study, describing a plausible failure mode for clinical AI.
- Intra-PR duplicates — There…