{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009804508,0.0003290683,0.000407645,0.00007561919,0.0002628912,0.00005475187,0.000179048,0.0002067034,0.003269767],"category_scores_gemma":[0.0005798553,0.0003568429,0.00006742131,0.0002009594,0.0008670366,0.0003257697,0.0004407642,0.0005075922,0.0001195872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008394628,"about_ca_system_score_gemma":0.0001254538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002310311,"about_ca_topic_score_gemma":0.0001575581,"domain_scores_codex":[0.9966358,0.0007577623,0.000375573,0.00117992,0.0003330089,0.0007179353],"domain_scores_gemma":[0.9982805,0.00044219,0.0001589611,0.0005053095,0.00001627784,0.000596748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005764012,0.0002341669,0.712239,0.0001865545,0.0001185231,0.0002888667,0.008198503,0.00002469097,0.09100957,0.0003864401,0.006535386,0.1807207],"study_design_scores_gemma":[0.0005205541,0.00006983736,0.684711,0.0000373882,0.00005683203,0.0002394696,0.000631983,0.0004628629,0.009494171,0.0005926121,0.3027562,0.0004271126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445491,0.005450167,0.005294441,0.002595255,0.0002272601,0.0007732407,0.00004382251,0.0001558608,0.04091083],"genre_scores_gemma":[0.9749611,0.001488673,0.01569795,0.003799618,0.00008483582,0.00008687197,0.00001594181,0.00007410347,0.003790898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2962208,"threshold_uncertainty_score":0.9998884,"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."}}