{"id":"W2800908969","doi":"10.1097/mlr.0000000000000919","title":"Examining Trends in Obstetric Quality Measures for Monitoring Health Care Disparities","year":2018,"lang":"en","type":"article","venue":"Medical Care","topic":"Maternal and fetal healthcare","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Minority Health and Health Disparities","keywords":"Medicine; Episiotomy; Birth certificate; Poisson regression; Demography; Incidence (geometry); Confidence interval; Ethnic group; Obstetrics; Childbirth; Pregnancy; Population; Environmental health","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":[0.009347572,0.0003931725,0.0003918669,0.004679908,0.0004536065,0.0008164922,0.0009907496,0.0004010251,0.001505762],"category_scores_gemma":[0.0243667,0.0002248848,0.001099556,0.006451088,0.0003136198,0.001277286,0.001093037,0.0008327632,0.0002300924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555563,"about_ca_system_score_gemma":0.002950819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03097492,"about_ca_topic_score_gemma":0.03136389,"domain_scores_codex":[0.9947018,0.001940231,0.0008804066,0.0009068983,0.001235026,0.0003356283],"domain_scores_gemma":[0.9779442,0.005067122,0.01100436,0.00126821,0.004176757,0.0005394028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003259658,0.00004939805,0.9829366,0.0001587633,0.0002956292,0.000006692431,0.0001827806,0.0005198774,0.00008866475,0.0006121176,0.002156776,0.01296008],"study_design_scores_gemma":[0.00001302776,0.0001164018,0.9916088,0.0001538736,0.0001306034,0.00002457132,0.0004207299,0.00281276,0.0004120429,0.0005247103,0.003768093,0.00001429793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8841058,0.004804132,0.02840612,0.003460753,0.0002237083,0.001216176,0.06381772,0.0002938392,0.01367161],"genre_scores_gemma":[0.9646789,0.0008699282,0.01684793,0.0004134161,0.0001038,0.001451365,0.01503247,0.00004178176,0.0005602565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03097492,"threshold_uncertainty_score":0.06158924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1493595328164346,"score_gpt":0.4366783629180758,"score_spread":0.2873188301016412,"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."}}