{"id":"W4256342527","doi":"10.1503/cmaj.051663","title":"Deaths","year":2006,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Autopsy Techniques and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; World Wide Web; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007149394,0.0006139556,0.0004269402,0.002516194,0.001212009,0.001378789,0.0007175175,0.001066431,0.5751908],"category_scores_gemma":[0.008819963,0.0002321021,0.0007507721,0.001717682,0.0001409944,0.0007026042,0.001482079,0.00137271,0.3065547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006979107,"about_ca_system_score_gemma":0.001640608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007375297,"about_ca_topic_score_gemma":0.01375431,"domain_scores_codex":[0.998993,0.0001332411,0.00008833485,0.0001147627,0.000469678,0.000200986],"domain_scores_gemma":[0.9966735,0.0003757682,0.0003499381,0.0002657073,0.001478118,0.0008570382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004748073,0.000009739028,0.0005509054,0.00005219172,0.000002555327,0.00002306276,0.00001237553,0.00000544689,0.00001744974,0.0003587857,0.9814858,0.01743412],"study_design_scores_gemma":[0.0000457376,0.00003689004,0.007860739,0.0002854805,0.000009054616,0.0001939744,0.0001255823,0.00002475478,0.00007545546,0.0004148054,0.990917,0.00001047873],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003582608,0.005017064,0.0007611684,0.0177689,0.01845182,0.0005873779,0.1570744,0.003402259,0.7933544],"genre_scores_gemma":[0.01505803,0.004858579,0.0006478034,0.009349353,0.004698315,0.0005280075,0.1238611,0.000615815,0.8403829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5751908,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005544048170022629,"score_gpt":0.2484841150283511,"score_spread":0.2429400668583284,"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."}}