{"id":"W2922281122","doi":"10.1093/ije/dyy169","title":"Maternal reproductive history: 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":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Ministério da Saúde; 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; International Development Research Centre; Wellcome Trust; World Health Organization","keywords":"Demography; Medicine; Socioeconomic status; Parity (physics); Population; Ethnic group; Confidence interval; Cohort study; Relative risk; Birth weight; Pregnancy","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":[0.0009264431,0.0002257629,0.0002765805,0.001424578,0.0004436602,0.0006358742,0.0004713033,0.000243666,0.0009513893],"category_scores_gemma":[0.002573278,0.0003346376,0.0005767544,0.002024788,0.0002759878,0.0004199236,0.0008917264,0.0003112318,0.0001286813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001107341,"about_ca_system_score_gemma":0.001018809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2229216,"about_ca_topic_score_gemma":0.2398922,"domain_scores_codex":[0.9996696,0.00005217882,0.00005652319,0.00009352467,0.00006086533,0.000067373],"domain_scores_gemma":[0.9991348,0.0001018953,0.0003845681,0.00007027364,0.0001917224,0.0001166984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002497415,0.00001014583,0.9966158,0.00005561992,0.0000823262,0.00004771719,0.0007124319,0.00003335221,0.0002059868,0.00009540931,0.0001983085,0.00191783],"study_design_scores_gemma":[0.000001639886,0.00001005782,0.9988372,0.000031782,0.00002270062,0.00006347408,0.0005121774,0.00006093215,0.00003112798,0.00002314648,0.0004029206,0.000002897469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914089,0.001796954,0.0002218769,0.0002386443,0.00001087345,0.00004052492,0.005352295,0.00001320671,0.0009167978],"genre_scores_gemma":[0.9972821,0.0007298097,0.0001750284,0.00003626184,0.000003688091,0.00003027173,0.001544518,0.000003182182,0.0001951284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2229216,"threshold_uncertainty_score":0.4432482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1458886202632171,"score_gpt":0.474674587578261,"score_spread":0.3287859673150439,"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."}}