{"id":"W4244530575","doi":"10.1503/cmaj.051514","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; World Wide Web; Medicine; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000676506,0.0006203118,0.0004412693,0.002369097,0.00116346,0.00129257,0.0007083235,0.001038421,0.5970564],"category_scores_gemma":[0.00773511,0.0002246536,0.0006848387,0.001672427,0.0001352645,0.0006548882,0.00137236,0.001338307,0.3465728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000648448,"about_ca_system_score_gemma":0.001493781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007669931,"about_ca_topic_score_gemma":0.01453792,"domain_scores_codex":[0.999156,0.0001076883,0.00006803683,0.00009985232,0.0004022127,0.0001662398],"domain_scores_gemma":[0.9971258,0.0002991678,0.0002880907,0.0002304336,0.001235463,0.0008209413],"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":[0.00004735282,0.000009889011,0.0004546597,0.00004425325,0.000002384905,0.00002091658,0.000009527072,0.000005246827,0.00001781606,0.0003083195,0.9830288,0.01605095],"study_design_scores_gemma":[0.0000426435,0.00003572194,0.007321825,0.0002401264,0.000008050029,0.0001663293,0.000090845,0.00002445662,0.00007044987,0.0003632357,0.9916265,0.000009763284],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002934458,0.00444739,0.0006431791,0.01444531,0.01573727,0.0005229603,0.1430569,0.00303715,0.8151754],"genre_scores_gemma":[0.01288861,0.004422133,0.0005737775,0.007218875,0.004060201,0.0004372785,0.1165638,0.0005566554,0.8532788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5970564,"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."}}