{"id":"W4409752132","doi":"10.1136/bmjph-2024-001683","title":"Does the reduction in obstetric hospitals result in an unintended decreased in-hospital delivery utilisation? A causal multilevel analysis in China","year":2025,"lang":"en","type":"article","venue":"BMJ Public Health","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Women's Health Research Institute; University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Medicine; Confounding; Multilevel model; Demography; China; Quantile regression; Environmental health; Geography; Statistics","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":[0.002190956,0.0001969611,0.000608984,0.002105751,0.00007478333,0.00004716356,0.0002016379,0.0001421511,0.00002570483],"category_scores_gemma":[0.001121106,0.0001227749,0.0000781415,0.004782339,0.00008121429,0.0002750453,0.0000566558,0.0005341483,0.000003607117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001376304,"about_ca_system_score_gemma":0.00179683,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07381333,"about_ca_topic_score_gemma":0.03126897,"domain_scores_codex":[0.99671,0.0006312534,0.001134813,0.0005032941,0.0003555513,0.0006650588],"domain_scores_gemma":[0.9988,0.0001160282,0.0002139187,0.0004598958,0.0001337202,0.0002764823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001960759,0.001052143,0.9797125,0.0001418306,0.00003652456,0.00004959524,0.003781215,0.00009266369,0.000007090596,0.001136519,0.0001836394,0.01361021],"study_design_scores_gemma":[0.002824105,0.0002477415,0.9857375,0.0002613824,0.00001718211,0.000004960023,0.004310552,0.005708734,0.000004990925,0.0005802662,0.0001838485,0.0001187452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9175932,0.0002122206,0.00002218732,0.08001028,0.0003300382,0.001490483,0.00002321405,0.0000339388,0.0002844391],"genre_scores_gemma":[0.9975268,0.0002271764,0.000153783,0.001663304,0.00006460456,0.0001030208,0.0001177136,0.00001045427,0.0001331825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07993356,"threshold_uncertainty_score":0.9864079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115629282914109,"score_gpt":0.3414523193181356,"score_spread":0.3202960264889945,"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."}}