{"id":"W3047581939","doi":"10.1016/j.jogc.2020.06.026","title":"Database Autopsy: An Efficient and Effective Confidential Enquiry into Maternal Deaths in Canada","year":2020,"lang":"en","type":"article","venue":"Journal of Obstetrics and Gynaecology Canada","topic":"Maternal and fetal healthcare","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Society of Obstetricians and Gynaecologists of Canada; University of Ottawa; Children's & Women's Health Centre of British Columbia; Izaak Walton Killam Health Centre; University of Toronto; BC Children's Hospital; Dalhousie University; Public Health Agency of Canada; University of British Columbia","funders":"Canadian Institutes of Health Research; Public Health Agency of Canada","keywords":"Medicine; Pregnancy; Maternal death; Obstetrics; Abortion; Cause of death; Autopsy; Pediatrics; Population; Environmental health; Internal medicine; Disease","routes":{"ca_aff":true,"ca_fund":true,"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":[0.06138889,0.0005054342,0.0005654354,0.01457282,0.004957778,0.005775946,0.003300847,0.001024358,0.003923673],"category_scores_gemma":[0.1449759,0.0006027776,0.0004409254,0.0114745,0.001917006,0.001905023,0.005115278,0.001659386,0.001001387],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04734771,"about_ca_system_score_gemma":0.2197577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9227437,"about_ca_topic_score_gemma":0.9293845,"domain_scores_codex":[0.9574787,0.0112803,0.007159033,0.001669679,0.02076343,0.001648946],"domain_scores_gemma":[0.7971581,0.03768284,0.01217286,0.01407202,0.1336925,0.00522179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002050619,0.0001029165,0.1405028,0.001834904,0.0001207366,0.0006510406,0.0112529,0.001695186,0.001230996,0.0189021,0.3268049,0.4966964],"study_design_scores_gemma":[0.00009493525,0.00006674104,0.1639764,0.004101986,0.0001362045,0.000417128,0.01046954,0.008471334,0.002421798,0.006487954,0.8031245,0.000231346],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1348053,0.0370517,0.2460727,0.1592037,0.005277162,0.02348488,0.174248,0.007386155,0.2124704],"genre_scores_gemma":[0.5551192,0.03673966,0.2918274,0.02140536,0.00154709,0.00667156,0.04895962,0.001067693,0.03666246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9526523,"threshold_uncertainty_score":0.3435333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169273800821302,"score_gpt":0.2494724957109253,"score_spread":0.2377797577027123,"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."}}