{"id":"W1227584900","doi":"10.1016/j.preghy.2015.08.006","title":"Development and internal validation of a multivariable model to predict perinatal death in pregnancy hypertension","year":2015,"lang":"en","type":"article","venue":"Pregnancy Hypertension","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Centre for Global Health Research; University of Toronto; SickKids Foundation; University of British Columbia","funders":"Universiteit Stellenbosch; Tongji University","keywords":"Medicine; Logistic regression; Obstetrics; Receiver operating characteristic; Gestation; Gestational age; Pregnancy; Prospective cohort study; Maternal death; Pediatrics; Emergency medicine; Population; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01290873,0.001112598,0.00100062,0.001399484,0.0004526381,0.001279702,0.001239981,0.000595642,0.001237883],"category_scores_gemma":[0.0266945,0.0004445113,0.001396599,0.0007008814,0.000329696,0.0005056054,0.001106926,0.001284027,0.0003999815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00081664,"about_ca_system_score_gemma":0.001936957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006398608,"about_ca_topic_score_gemma":0.004056216,"domain_scores_codex":[0.9964342,0.002514889,0.0001910203,0.0003839539,0.0003164722,0.0001594753],"domain_scores_gemma":[0.9857408,0.01067653,0.0009272522,0.0005072331,0.001931402,0.000216765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001314521,0.0007743758,0.7412958,0.0001214295,0.001369166,0.0002129712,0.0002638375,0.1762141,0.001322413,0.0005882413,0.002724654,0.07379854],"study_design_scores_gemma":[0.0001419953,0.0006272247,0.05793034,0.00006415966,0.0002653796,0.0001337748,0.00007464382,0.9387808,0.000780625,0.000648003,0.0005283782,0.0000246431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.817959,0.0004222355,0.1754129,0.001025689,0.0001246373,0.0006248925,0.001702188,0.001203357,0.001525153],"genre_scores_gemma":[0.9628334,0.00009738334,0.03497567,0.0000990725,0.00003581707,0.0003038278,0.001242149,0.00004571946,0.0003669023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01290873,"threshold_uncertainty_score":0.06826878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0879110730183106,"score_gpt":0.2834686488596433,"score_spread":0.1955575758413327,"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."}}