{"id":"W2152864732","doi":"10.1093/heapol/16.1.62","title":"Caesarean sections in Mexico: are there too many?","year":2001,"lang":"en","type":"article","venue":"Health Policy and Planning","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Caesarean section; Public health; Health care; Quarter (Canadian coin); Public sector; Medicine; Private sector; Business; Demography; Environmental health; Economic growth; Geography; Political science; Pregnancy; Economics; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001432003,0.0001568832,0.0002807292,0.001037961,0.000508962,0.0009487636,0.0005168942,0.0006647444,0.00242873],"category_scores_gemma":[0.005890748,0.0001924013,0.0002424909,0.001235291,0.0005437565,0.0009229256,0.0007914286,0.0006662164,0.0001451653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001390613,"about_ca_system_score_gemma":0.001041091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03179837,"about_ca_topic_score_gemma":0.04425474,"domain_scores_codex":[0.9993036,0.0002012543,0.00005610964,0.0001222559,0.000172594,0.0001441799],"domain_scores_gemma":[0.9962367,0.0008776506,0.002195038,0.0001084783,0.0002687726,0.0003133421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000142843,0.00004274359,0.9494792,0.0002788118,0.0000707029,0.0007101413,0.000724658,0.0001024599,0.0001899787,0.0007813439,0.002768196,0.04470898],"study_design_scores_gemma":[0.00001525961,0.00009743413,0.9854019,0.0003867974,0.00006403538,0.001010336,0.005727131,0.0002036796,0.00008171838,0.0003788411,0.006619732,0.00001314633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9432871,0.02563941,0.0005214005,0.02552689,0.000227129,0.00002031637,0.0009421653,0.00001897512,0.003816664],"genre_scores_gemma":[0.9735193,0.02270341,0.0004939268,0.001540249,0.0004738288,0.00002289415,0.0005619986,0.000008031617,0.0006763422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03179837,"threshold_uncertainty_score":0.06322658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05168535393268824,"score_gpt":0.3885867600309709,"score_spread":0.3369014060982826,"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."}}