{"id":"W3158631476","doi":"10.1590/0102-311x00093320","title":"RPS Brazilian Birth Cohorts Consortium (Ribeirão Preto, Pelotas and São Luís): history, objectives and methods","year":2021,"lang":"en","type":"article","venue":"Cadernos de Saúde Pública","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Associação Brasileira de Saúde Coletiva; Ministério da Saúde; Conselho Nacional de Desenvolvimento Científico e Tecnológico; World Health Organization; European Commission; Universidade de São Paulo; Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Universidade Federal do Maranhão; Fundação de Amparo à Pesquisa do Estado de São Paulo; International Development Research Centre; Wellcome Trust; Fundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do Maranhão","keywords":"Socioeconomic status; Medicine; Population; Demography; Pregnancy; Gerontology; Geography; Environmental health; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02150623,0.0009422002,0.0007948887,0.007032303,0.002255682,0.001723416,0.001936964,0.0006939876,0.003993359],"category_scores_gemma":[0.02583206,0.0008451435,0.001211447,0.00908024,0.0006642685,0.0005135079,0.002925964,0.0009774873,0.001215874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003150852,"about_ca_system_score_gemma":0.01348335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1123201,"about_ca_topic_score_gemma":0.1679187,"domain_scores_codex":[0.992147,0.003984171,0.001022663,0.0009399314,0.00145477,0.0004513747],"domain_scores_gemma":[0.9846311,0.00211047,0.002473658,0.003238591,0.006319361,0.001226903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007320718,0.0002730116,0.7530997,0.001834796,0.0007682223,0.000557719,0.005669321,0.0007901514,0.001160532,0.01617884,0.06302615,0.1559096],"study_design_scores_gemma":[0.0002066507,0.0002416874,0.7274948,0.002006928,0.0003577025,0.0007337289,0.002701781,0.0004658522,0.0009264223,0.002321213,0.2624592,0.00008399149],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.3347422,0.03599196,0.1246724,0.01189047,0.003222551,0.07941327,0.3335748,0.0009404944,0.07555182],"genre_scores_gemma":[0.423424,0.02191811,0.2152674,0.004136408,0.001108215,0.1279597,0.1730477,0.0006373767,0.03250098],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1123201,"threshold_uncertainty_score":0.2233327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530606835746416,"score_gpt":0.2879996185235151,"score_spread":0.2726935501660509,"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."}}