{"id":"W2003310948","doi":"10.1097/00003081-200609000-00017","title":"Factors Predicting Labor Induction Success: A Critical Analysis","year":2006,"lang":"en","type":"article","venue":"Clinical Obstetrics & Gynecology","topic":"Maternal and Perinatal Health Interventions","field":"Medicine","cited_by":196,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Medicine; Bishop score; Fetal fibronectin; Labor induction; Gestational age; Confidence interval; Birth weight; Obstetrics; Gestation; Pregnancy; Gynecology; Body mass index; Fetus; Cervix; Internal medicine; Preterm labor","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005554872,0.0001563986,0.0006626293,0.0004462281,0.0001440254,0.00002351668,0.0001239721,0.0004062036,0.001962422],"category_scores_gemma":[0.01648857,0.000125209,0.0004894444,0.001472555,0.0002141692,0.00008806055,0.00007546919,0.0006064344,0.00008237936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001155839,"about_ca_system_score_gemma":0.00009478715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004645108,"about_ca_topic_score_gemma":0.0003028376,"domain_scores_codex":[0.9975268,0.0002098744,0.001225906,0.0004109159,0.000227989,0.0003984964],"domain_scores_gemma":[0.9910482,0.00785374,0.0001984459,0.0002821015,0.0003409887,0.0002765642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003155049,0.0007028728,0.9921532,0.0001850668,0.0001613675,0.0000705975,0.00001497138,0.00000689326,0.0000116754,0.00177916,0.0003620812,0.004520544],"study_design_scores_gemma":[0.0006140296,0.0007946812,0.9674577,0.0000191671,0.0005309854,0.00001175911,0.00004976054,0.0005210729,0.00003272759,0.0005981552,0.02926552,0.0001044996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917731,0.000456287,0.0006105608,0.001909531,0.003327003,0.0001845837,0.0000881208,0.0001100922,0.001540733],"genre_scores_gemma":[0.9947329,0.00004331,0.000412286,0.0005222886,0.0005096264,0.00001832756,0.00009663997,0.00001531609,0.003649348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02890343,"threshold_uncertainty_score":0.9989499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09599164370128323,"score_gpt":0.4397252890516979,"score_spread":0.3437336453504147,"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."}}