{"id":"W2982517921","doi":"10.1089/jwh.2019.7822","title":"Development and Validation of a Risk Prediction Model for Cesarean Delivery After Labor Induction","year":2019,"lang":"en","type":"article","venue":"Journal of Women s Health","topic":"Maternal and Perinatal Health Interventions","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Agency for Healthcare Research and Quality","keywords":"Medicine; Labor induction; Confidence interval; Cohort; Receiver operating characteristic; Gestational age; Nomogram; Bootstrapping (finance); Obstetrics; Induction of labor; Cohort study; Pregnancy; Internal medicine; Econometrics","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":[0.01095983,0.001121731,0.00101604,0.001611545,0.0005122955,0.001282281,0.001273454,0.0007854691,0.001035523],"category_scores_gemma":[0.02271327,0.0004414961,0.001043771,0.0006214482,0.0002904304,0.0006139624,0.0008457219,0.001451935,0.0003716674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001571322,"about_ca_system_score_gemma":0.003486264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01203342,"about_ca_topic_score_gemma":0.00604936,"domain_scores_codex":[0.9976898,0.001292002,0.0001591909,0.0003785885,0.0003498148,0.0001306704],"domain_scores_gemma":[0.987872,0.00829173,0.0008678226,0.0004206084,0.002252161,0.0002957059],"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":[0.001058181,0.001348224,0.6274237,0.0001128095,0.0007227278,0.0003542784,0.000292776,0.2590226,0.001382367,0.001318978,0.005658858,0.1013044],"study_design_scores_gemma":[0.0001142725,0.00029246,0.02789116,0.00005385489,0.0001321321,0.0001030946,0.00005669277,0.9695538,0.000644449,0.000660539,0.0004753129,0.00002218853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8258624,0.0003931013,0.1673152,0.001295984,0.0001556134,0.000845895,0.001613486,0.0008426169,0.00167562],"genre_scores_gemma":[0.9204624,0.0001390799,0.07643659,0.0001435134,0.00004795622,0.0004438703,0.001826597,0.00004383955,0.0004562695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01203342,"threshold_uncertainty_score":0.05796182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0296794046415453,"score_gpt":0.3212552685014689,"score_spread":0.2915758638599236,"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."}}