{"id":"W2290425958","doi":"10.1016/s1701-2163(16)34655-2","title":"Severe Maternal Morbidity in Canada, 2003 to 2007: Surveillance Using Routine Hospitalization Data and ICD-10CA Codes","year":2010,"lang":"en","type":"article","venue":"Journal of Obstetrics and Gynaecology Canada","topic":"Maternal and fetal healthcare","field":"Medicine","cited_by":117,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; Université de Montréal; McGill University Health Centre; Canadian Institutes of Health Research; Public Health Agency of Canada; University of Calgary; McGill University; University of British Columbia","funders":"Health Canada; Public Health Agency of Canada","keywords":"Medicine; Case fatality rate; Caesarean section; Diagnosis code; Pregnancy; Pediatrics; Psychological intervention; Maternal morbidity; Obstetrics; Emergency medicine; Epidemiology; Population; Internal medicine; Environmental health","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":[0.0003940088,0.0004212059,0.000476213,0.002181518,0.001077994,0.000957808,0.001296259,0.0004738934,0.001082442],"category_scores_gemma":[0.002697696,0.0004296483,0.0006933077,0.00619962,0.0003431781,0.0003587624,0.0006202828,0.000827986,0.0001621792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02138096,"about_ca_system_score_gemma":0.04386219,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951339,"about_ca_topic_score_gemma":0.9964362,"domain_scores_codex":[0.9992864,0.00004197147,0.0000884203,0.00008873404,0.0003022113,0.0001923738],"domain_scores_gemma":[0.9964809,0.0001186833,0.0008718585,0.00006442543,0.001813925,0.0006502185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009916096,0.00002765396,0.9897109,0.00007369614,0.0001074829,0.00007283235,0.0001420919,0.0002207506,0.0001267961,0.00006530437,0.005985955,0.003367424],"study_design_scores_gemma":[0.000007896119,0.00001018912,0.9985675,0.00002941373,0.00002538008,0.0000642515,0.0002349938,0.0002391795,0.00005272221,0.000009786346,0.0007531226,0.000005652732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8733963,0.001943865,0.0003252539,0.001081317,0.00006391511,0.0001301466,0.1184269,0.0001142305,0.004518062],"genre_scores_gemma":[0.9651849,0.002002402,0.0007047905,0.0003492054,0.00002690385,0.00006951858,0.03007531,0.00001691257,0.001570071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02138096,"threshold_uncertainty_score":0.1551304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939346538847727,"score_gpt":0.2663713045646023,"score_spread":0.2469778391761251,"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."}}