{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04232927,0.00161118,0.006590805,0.001103096,0.0004904173,0.002256389,0.001322173,0.002333167,0.00284151],"category_scores_gemma":[0.07468645,0.0006635825,0.01236827,0.001290813,0.001114635,0.001691836,0.0007897313,0.002831516,0.0002893925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009491824,"about_ca_system_score_gemma":0.002047763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006246551,"about_ca_topic_score_gemma":0.000713253,"domain_scores_codex":[0.9660985,0.025406,0.003563319,0.002560096,0.001700044,0.0006721257],"domain_scores_gemma":[0.9062102,0.06708241,0.01709979,0.00507223,0.00327445,0.001260931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.7489025,0.003109944,0.04873382,0.02036756,0.1360596,0.0001378804,0.0001562977,0.00349513,0.0008879562,0.0005150563,0.001978908,0.03565541],"study_design_scores_gemma":[0.5936494,0.0773958,0.08875135,0.004829749,0.2046549,0.0003171132,0.0001499732,0.02132651,0.00192235,0.003210949,0.003566218,0.0002255508],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8447659,0.1080194,0.01872604,0.002632243,0.002027595,0.01562548,0.004685371,0.000431721,0.00308629],"genre_scores_gemma":[0.97626,0.00643001,0.005787503,0.0008597,0.000514543,0.007936088,0.001720171,0.00003905645,0.0004529886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04232927,"threshold_uncertainty_score":0.2238612,"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."}}