{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001929211,0.0001475967,0.0005090715,0.0008905633,0.0001210667,0.000005809654,0.0001712221,0.0001962235,0.0001893248],"category_scores_gemma":[0.001559377,0.0001191896,0.00004981007,0.0001484607,0.0001263793,0.0001926841,0.00008250337,0.0005915222,0.000004982696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002959926,"about_ca_system_score_gemma":0.0001759608,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02072441,"about_ca_topic_score_gemma":0.03129669,"domain_scores_codex":[0.9967352,0.001175044,0.001348395,0.0002174447,0.0001940061,0.0003298921],"domain_scores_gemma":[0.9966052,0.001968174,0.000647968,0.00009475529,0.0005336751,0.0001502692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004376207,0.00001748834,0.9851502,0.0001019528,0.00001986449,0.0001490576,0.001289403,0.00002457101,0.000006785105,0.001422459,0.0003919264,0.01098867],"study_design_scores_gemma":[0.001413835,0.0003174895,0.9879034,0.0006186603,0.000004907638,0.000277522,0.001149243,0.0005381083,0.000005755964,0.003710738,0.003953101,0.000107274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876239,0.002192866,0.00008809372,0.007989851,0.001495032,0.0001117022,0.000179277,0.00001119291,0.0003081406],"genre_scores_gemma":[0.9954727,0.0004270424,0.0005794292,0.002496003,0.0007593875,0.00001101664,0.00006044456,0.00001368773,0.0001803254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01088139,"threshold_uncertainty_score":0.9863796,"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."}}