{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003875869,0.0001669398,0.0006646156,0.0008018958,0.00008345112,0.000006300771,0.0002060866,0.0002124945,0.0003129669],"category_scores_gemma":[0.002106376,0.0001325409,0.00005132002,0.0001486114,0.0001494273,0.0001981905,0.0001029334,0.0006128962,0.000006268087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001940799,"about_ca_system_score_gemma":0.0002089311,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02961954,"about_ca_topic_score_gemma":0.03279221,"domain_scores_codex":[0.9958752,0.001465997,0.001785613,0.0002370577,0.0002524889,0.00038367],"domain_scores_gemma":[0.9958116,0.002579449,0.0009089042,0.0001208022,0.0003864543,0.00019275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004200901,0.00002425179,0.9810446,0.00007653912,0.00003231254,0.00008764341,0.0005105057,0.00002825772,0.00000989659,0.00368023,0.0003637992,0.01372191],"study_design_scores_gemma":[0.001380773,0.000214024,0.9734352,0.0004743701,0.000006361801,0.00008147035,0.0001759233,0.001104956,0.00000340048,0.01385544,0.00915845,0.0001096428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843191,0.0008534337,0.0001634963,0.01289343,0.001238268,0.0001231163,0.000118368,0.00001063042,0.0002801835],"genre_scores_gemma":[0.9925389,0.0004112087,0.0008732778,0.005155866,0.0007509563,0.00001124371,0.00003146389,0.0000145226,0.0002125325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01361227,"threshold_uncertainty_score":0.9848568,"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."}}