{"id":"W4238709841","doi":"10.1503/cmaj.060529","title":"Deaths","year":2006,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Medical History and Innovations","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Data science; Medicine","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":[0.0005955484,0.0007061266,0.0005117243,0.001568214,0.001566638,0.001178637,0.0008756858,0.00144891,0.3509733],"category_scores_gemma":[0.008601821,0.000206186,0.000830807,0.001127339,0.000262499,0.0008710361,0.001420848,0.002240159,0.1915978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008144602,"about_ca_system_score_gemma":0.001412027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004536106,"about_ca_topic_score_gemma":0.005231189,"domain_scores_codex":[0.9989924,0.0001587729,0.00008791307,0.0001316282,0.0004142983,0.0002149718],"domain_scores_gemma":[0.9977304,0.00024182,0.000256513,0.0002889606,0.0008975086,0.0005847602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009300259,0.00001615552,0.001074181,0.00007964984,0.000009553419,0.0002624663,0.00004270694,0.0000190388,0.0000452289,0.001847853,0.9624618,0.03404848],"study_design_scores_gemma":[0.00004049891,0.00005536859,0.004956342,0.0004516834,0.00001458507,0.001322876,0.0001925306,0.00002867391,0.0001267496,0.00201322,0.990782,0.00001546751],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007532955,0.02037222,0.00230217,0.04879112,0.06665619,0.0005054038,0.0673444,0.004213167,0.7822823],"genre_scores_gemma":[0.03668695,0.0134684,0.000898314,0.02471781,0.009408114,0.0003400734,0.05421492,0.0005764046,0.859689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3509733,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127941844792066,"score_gpt":0.1920499817117565,"score_spread":0.1807705632638358,"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."}}