{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008830317,0.0000555015,0.0002222487,0.0001443046,0.00003881565,0.000004930929,0.0000212893,0.00003702397,0.00005015769],"category_scores_gemma":[0.00002227713,0.00004342412,0.00004040883,0.00005483646,0.000008642795,0.0001262682,0.000008652094,0.0001129185,0.000001505458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003225151,"about_ca_system_score_gemma":0.0003337162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003524497,"about_ca_topic_score_gemma":0.00000692536,"domain_scores_codex":[0.9990045,0.00002867849,0.0005890998,0.00006871322,0.0001670858,0.0001418907],"domain_scores_gemma":[0.9990131,0.00001987055,0.0005189688,0.00005349605,0.0002312863,0.0001632433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0202951,0.001678388,0.5460077,0.03220178,0.0005260287,0.00001024495,0.09711567,0.0009789661,0.002394936,0.000479508,0.0008066795,0.297505],"study_design_scores_gemma":[0.008000962,0.007395054,0.9225937,0.002873336,0.00007206999,0.0003893798,0.003813584,0.01557039,0.004632003,0.001149602,0.03331304,0.0001969153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970106,0.0002532089,0.001760665,0.0003906473,0.0002194683,0.0002600697,0.00009242512,0.00000402337,0.000008868481],"genre_scores_gemma":[0.9924678,0.0002898365,0.006599468,0.0001401945,0.00009732154,0.00001370424,0.000006735817,0.000006899373,0.0003780191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.376586,"threshold_uncertainty_score":0.1770784,"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."}}