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Clinician-Level Agreement Without Clinical Caution: LLM Evaluator Limits in Medical AI Benchmarking
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clinician-level-agreement-without-clinical-caution-llm-evaluator-limits-in-medical-ai-benchmarking-06b91441·1 events·first seen 32h agoAliases: Clinician-Level Agreement Without Clinical Caution: LLM Evaluator Limits in Medical AI Benchmarking
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MedQADE benchmark reveals LLM evaluators match physician agreement scores but lack clinical caution and show lineage bias
Researchers introduce MedQADE, a standardized open-response clinical benchmark for German comprising 3,800 items annotated by ten physicians and nine LLM evaluators. The top LLM evaluator (Gemini 3 Flash) reached statistical alignment near the physician inter-rater ceiling (κ=0.694 vs. κ=0.709), but automated evaluators showed near-zero clinical metacognition: unlike physicians, they never abstained regardless of item difficulty. The study also documents systematic lineage-dependent scoring bias, where models preferentially rate architectural siblings more favorably, independent of language.