{"id":"W4403654696","doi":"10.1177/20552076241284726","title":"Developing a streamlined risk-adjusted cesarean section rate model for evaluation of obstetrical quality across hospitals by using EHRs: A provincial-scale multicenter retrospective study","year":2024,"lang":"en","type":"article","venue":"Digital Health","topic":"Maternal and Perinatal Health Interventions","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Peking University; Tongji University; Huazhong University of Science and Technology","keywords":"Concordance; Medicine; Brier score; Statistics; Scale (ratio); Consistency (knowledge bases); Econometrics; Actuarial science; Computer science; Mathematics; Internal medicine; Geography","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":[0.001606172,0.0001854693,0.0004513467,0.0001113833,0.0001936091,0.00009606786,0.00006264386,0.00008407648,0.000008867235],"category_scores_gemma":[0.0005516074,0.0001591704,0.0001628572,0.0003523098,0.00003839678,0.0003584823,0.00004922558,0.0002119215,0.00000270901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001491601,"about_ca_system_score_gemma":0.0007173353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002709988,"about_ca_topic_score_gemma":0.0008357831,"domain_scores_codex":[0.9975223,0.0001873946,0.0009372175,0.0004500173,0.0005291544,0.0003739207],"domain_scores_gemma":[0.9984903,0.0001171234,0.0003402781,0.0001869317,0.0006889002,0.0001765079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004719719,0.006446264,0.6034521,0.03031485,0.0006906555,0.00001311597,0.04015622,0.0009159691,0.0003102553,0.0003111933,0.0005113645,0.3121583],"study_design_scores_gemma":[0.004820915,0.002492022,0.2154849,0.001237658,0.0001022767,0.00000865907,0.004137654,0.7705892,0.0002661127,0.000511706,0.0001114691,0.0002373523],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971584,0.00057509,0.01932941,0.000230285,0.0004410756,0.003367231,0.004343064,0.00009640543,0.00003344451],"genre_scores_gemma":[0.9984688,0.00001571251,0.0004807841,0.0000522624,0.0001156958,0.0001424437,0.0002454699,0.00003162146,0.0004472788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7696733,"threshold_uncertainty_score":0.6490779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1262625110678408,"score_gpt":0.4697298373164636,"score_spread":0.3434673262486229,"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."}}