{"id":"W4312094465","doi":"10.1111/birt.12691","title":"Prediction of successful labor induction in persons with a low Bishop score using machine learning: Secondary analysis of two randomized controlled trials","year":2022,"lang":"en","type":"article","venue":"Birth","topic":"Maternal and Perinatal Health Interventions","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"Robert H. Smith International Center for Jefferson Studies, Thomas Jefferson Foundation","keywords":"Medicine; Obstetrics; Bishop score; Oxytocin; Parity (physics); Randomized controlled trial; Pregnancy; Gestation; Labor induction; Receiver operating characteristic; Gynecology; Cervix; Surgery; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003058977,0.0001044085,0.002132679,0.0009209194,0.0000766606,0.000005517125,0.00004679135,0.00003006541,0.003012332],"category_scores_gemma":[0.0003819988,0.00006960559,0.000503769,0.000998333,0.00006119347,0.00005595907,0.00002685454,0.0002760624,2.141024e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006838635,"about_ca_system_score_gemma":0.0001578931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005362784,"about_ca_topic_score_gemma":0.0005728424,"domain_scores_codex":[0.9973357,0.001058908,0.001029682,0.0001565564,0.0003028227,0.0001162914],"domain_scores_gemma":[0.9986506,0.0002826316,0.0007889615,0.0001128187,0.0001132496,0.00005174929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.4783805,0.0007081229,0.4986812,0.001586671,0.004126783,0.00003171633,0.001566034,0.008739678,0.005063312,0.0001790676,0.00000766721,0.0009292716],"study_design_scores_gemma":[0.7054196,0.001856471,0.0671664,0.0005866838,0.005344043,0.00007980841,0.001510729,0.2152953,0.00204324,0.00003699878,0.0005000033,0.0001607309],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969442,0.0006599582,0.0002189731,0.0001517628,0.0001226273,0.001040265,0.0007206336,0.00001790917,0.0001236939],"genre_scores_gemma":[0.9980659,0.00004219975,0.000124792,0.00002813514,0.00004059157,0.0001387662,0.0001297181,0.00001047036,0.001419422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4315148,"threshold_uncertainty_score":0.9978991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0500923385973308,"score_gpt":0.3395858213093912,"score_spread":0.2894934827120604,"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."}}