{"id":"W2921991176","doi":"10.1093/ije/dyy129","title":"Stillbirth, newborn and infant mortality: 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":34,"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":"Medicine; Infant mortality; Demography; Population; Mortality rate; Cause of death; Pediatrics; Environmental health; Disease","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":[0.001110828,0.0003347209,0.0004100372,0.001616833,0.0004522926,0.0007217299,0.0005677711,0.0002799802,0.001076901],"category_scores_gemma":[0.002919465,0.0003659089,0.0008110115,0.002178418,0.000319389,0.0005031351,0.001057477,0.0003953245,0.0001785488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001520915,"about_ca_system_score_gemma":0.001315562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2341524,"about_ca_topic_score_gemma":0.2229678,"domain_scores_codex":[0.9995924,0.00006404647,0.00006839418,0.0001043855,0.00007336161,0.0000974444],"domain_scores_gemma":[0.9989171,0.000116572,0.0003952713,0.00009520703,0.0003115484,0.000164401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005297828,0.0000181236,0.9946626,0.00009404314,0.0001203902,0.0000828687,0.001152043,0.00006103814,0.0002869164,0.0001302732,0.0003249085,0.00301387],"study_design_scores_gemma":[0.000002507634,0.00001906584,0.998318,0.00003985903,0.00003631356,0.00007524107,0.0007808925,0.00007470867,0.0000459587,0.00003202482,0.0005701754,0.000005317062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886715,0.001951286,0.0002667265,0.0002862434,0.00001625894,0.00005823095,0.007639347,0.00001558688,0.001094836],"genre_scores_gemma":[0.9953297,0.0009379706,0.0002412814,0.0000455038,0.000005652666,0.00005053869,0.003089206,0.000005567073,0.0002944722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2341524,"threshold_uncertainty_score":0.4655789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1252264275514973,"score_gpt":0.4897300064833532,"score_spread":0.3645035789318558,"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."}}