{"id":"W4395006923","doi":"10.1503/cmaj.231386","title":"Use of data from death investigation systems to support community health and prevent premature deaths in Canada","year":2024,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Autopsy Techniques and Outcomes","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Office of the Chief Medical Examiner; Nova Scotia Health Authority; Nova Scotia Department of Health and Wellness; Government of Nova Scotia","funders":"","keywords":"Environmental health; Medical emergency; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.005869374,0.0003914913,0.0004942389,0.005376499,0.002528656,0.002317128,0.002102606,0.0005004511,0.003452132],"category_scores_gemma":[0.04112046,0.0004290352,0.0005749229,0.00897826,0.0005165469,0.0007941267,0.002295355,0.001248981,0.0004007719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0650902,"about_ca_system_score_gemma":0.2060866,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9975661,"about_ca_topic_score_gemma":0.9981177,"domain_scores_codex":[0.9934624,0.001356483,0.0008104008,0.0004080386,0.002794558,0.001168078],"domain_scores_gemma":[0.9408612,0.005640264,0.004527969,0.001503221,0.04043281,0.007034624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002751478,0.0001307115,0.7621107,0.0009707239,0.0003579212,0.0001722598,0.001806641,0.002981597,0.000206432,0.0036291,0.1228421,0.1045168],"study_design_scores_gemma":[0.0001231203,0.00005943452,0.9467335,0.001274291,0.0001766327,0.0000646441,0.00178549,0.006446394,0.000356913,0.0007905861,0.04209339,0.00009567611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5306022,0.01832811,0.007891511,0.06376235,0.001136941,0.002416445,0.3064413,0.0009148343,0.06850629],"genre_scores_gemma":[0.9233091,0.006539803,0.01117364,0.003420923,0.0001740961,0.0006043961,0.04858057,0.00008713564,0.006110221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0650902,"threshold_uncertainty_score":0.4722647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06117644260512013,"score_gpt":0.3203115996939264,"score_spread":0.2591351570888062,"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."}}