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32 lines
No EOL
1.3 KiB
JSON
32 lines
No EOL
1.3 KiB
JSON
{
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"rejected_claims": [
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{
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"filename": "clinical-llm-evaluation-uses-medical-exam-questions-not-real-patient-data-creating-systematic-benchmark-validity-gap.md",
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"issues": [
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"missing_attribution_extractor"
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]
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},
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{
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"filename": "conversational-clinical-ai-shows-19-point-accuracy-drop-versus-single-turn-questions-revealing-interaction-complexity-gap.md",
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"issues": [
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"missing_attribution_extractor"
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]
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}
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],
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"validation_stats": {
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"total": 2,
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"kept": 0,
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"fixed": 2,
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"rejected": 2,
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"fixes_applied": [
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"clinical-llm-evaluation-uses-medical-exam-questions-not-real-patient-data-creating-systematic-benchmark-validity-gap.md:set_created:2026-03-24",
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"conversational-clinical-ai-shows-19-point-accuracy-drop-versus-single-turn-questions-revealing-interaction-complexity-gap.md:set_created:2026-03-24"
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],
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"rejections": [
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"clinical-llm-evaluation-uses-medical-exam-questions-not-real-patient-data-creating-systematic-benchmark-validity-gap.md:missing_attribution_extractor",
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"conversational-clinical-ai-shows-19-point-accuracy-drop-versus-single-turn-questions-revealing-interaction-complexity-gap.md:missing_attribution_extractor"
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]
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},
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"model": "anthropic/claude-sonnet-4.5",
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"date": "2026-03-24"
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} |