{"id":"W2921759220","doi":"10.1093/ije/dyy211","title":"Antenatal care and caesarean sections: trends and inequalities in four population-based birth cohorts in Pelotas, Brazil, 1982–2015","year":2018,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Maternal and Neonatal Healthcare","field":"Health Professions","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research; University of Toronto","funders":"Ministério da Saúde; Universidade de São Paulo; Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Associação Brasileira de Saúde Coletiva; European Commission; Universidade Federal de Pelotas; International Development Research Centre; Wellcome Trust; World Health Organization","keywords":"Caesarean section; Medicine; Population; Obstetrics; Pregnancy; Psychological intervention; Public health; Demography; Prenatal care; Pediatrics; Environmental health; Nursing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001104813,0.0002523779,0.0003559313,0.001383464,0.0004535468,0.0006795734,0.0005337132,0.0003156337,0.001168016],"category_scores_gemma":[0.003726925,0.0004276404,0.0006722557,0.002003327,0.000380913,0.0005580569,0.001072064,0.0004383798,0.0001489589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558955,"about_ca_system_score_gemma":0.001314209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.252819,"about_ca_topic_score_gemma":0.2436871,"domain_scores_codex":[0.9994174,0.00009894453,0.0001040622,0.0001471545,0.0001101684,0.0001223006],"domain_scores_gemma":[0.9986994,0.0001797083,0.0005553109,0.0000906218,0.0002972349,0.0001776797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003627399,0.0000189246,0.9944912,0.0001175915,0.0001008502,0.00006837931,0.00125192,0.00005482681,0.0002818029,0.0001874983,0.0003012032,0.00308944],"study_design_scores_gemma":[0.000002027142,0.00001438346,0.9985281,0.00005343659,0.00002741187,0.00007460365,0.0007154495,0.00008848922,0.00003858783,0.00003283911,0.0004200762,0.000004610155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901723,0.001960473,0.0002868111,0.0004569044,0.00001630152,0.00006187622,0.005890537,0.0000157988,0.001138986],"genre_scores_gemma":[0.9976162,0.000662536,0.0002146926,0.00006309972,0.000004637918,0.00003797162,0.001214638,0.000004573746,0.0001817659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.252819,"threshold_uncertainty_score":0.502695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09559495849014234,"score_gpt":0.4759615748012181,"score_spread":0.3803666163110758,"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."}}