{"id":"W2397455225","doi":"","title":"What are the odds?: evaluating loss of chance in medical negligence cases.","year":2005,"lang":"en","type":"article","venue":"PubMed","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Odds; Medical negligence; Medicine; Psychology; Forensic engineering; Engineering; Law; Political science; Internal medicine; Logistic regression","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01718107,0.0003875901,0.0006969044,0.005365367,0.001969454,0.00306774,0.001361533,0.003224358,0.005002273],"category_scores_gemma":[0.2545931,0.0002524584,0.0006691869,0.002730991,0.003590375,0.006053168,0.001932398,0.001608195,0.0003569494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002445698,"about_ca_system_score_gemma":0.003971274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002373287,"about_ca_topic_score_gemma":0.006709982,"domain_scores_codex":[0.9725276,0.016485,0.002340282,0.00049324,0.00720644,0.0009474596],"domain_scores_gemma":[0.7129216,0.2495829,0.02428675,0.001046548,0.009083378,0.003078778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002831412,0.0006153308,0.7228701,0.001746598,0.0003832119,0.006308394,0.003764325,0.002403003,0.0003727165,0.05177542,0.02028457,0.186645],"study_design_scores_gemma":[0.0002847589,0.004253654,0.7320988,0.006580489,0.001530104,0.03698599,0.03254182,0.02221539,0.001634475,0.1308191,0.03075799,0.0002974048],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7833463,0.05888358,0.006628677,0.04611052,0.000962842,0.0005062064,0.0009938062,0.00005023882,0.1025177],"genre_scores_gemma":[0.9927297,0.00335484,0.002090651,0.0007682696,0.0003190957,0.00008709441,0.00008717901,0.000005568206,0.0005576776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01718107,"threshold_uncertainty_score":0.09086329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.191400299896282,"score_gpt":0.4861929810834493,"score_spread":0.2947926811871673,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}