{"id":"W2079365842","doi":"10.11606/issn.2176-7262.v41i1p50-57","title":"DADOS MÉDICO-LEGAIS SOBRE AFOGAMENTOS NA REGIÃO DE RIBEIRÃO PRETO (SP, BRASIL): UM PASSO PARA A PREVENÇÃO","year":2008,"lang":"pt","type":"article","venue":"Medicina (Ribeirão Preto)","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Humanities; Medicine; Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.006788776,0.002056978,0.003659411,0.0008663507,0.001452252,0.00006790552,0.00151411,0.002848828,0.004847365],"category_scores_gemma":[0.003875054,0.001940358,0.001320303,0.001334484,0.001913793,0.0008318195,0.0005283753,0.004204937,0.001469399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329603,"about_ca_system_score_gemma":0.002167182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007542956,"about_ca_topic_score_gemma":0.00009756868,"domain_scores_codex":[0.9843211,0.00370326,0.003328463,0.002762663,0.002062956,0.003821572],"domain_scores_gemma":[0.9904931,0.001810121,0.00185801,0.003208556,0.0005715108,0.002058736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007509391,0.003643752,0.4597446,0.004456853,0.004469773,0.006187407,0.03309657,0.00008962531,0.008898826,0.001953629,0.4007141,0.0692355],"study_design_scores_gemma":[0.03485766,0.01791271,0.6320902,0.02069135,0.01271074,0.01127023,0.006992772,0.01432094,0.01771002,0.005104897,0.2190901,0.007248469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8418811,0.03772948,0.03183353,0.02220048,0.01060233,0.01135734,0.0006870421,0.001739096,0.04196958],"genre_scores_gemma":[0.9137349,0.00604057,0.001413792,0.008322285,0.003358662,0.0006693211,0.0008058566,0.0003433107,0.06531131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.181624,"threshold_uncertainty_score":0.9998477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04448577418372439,"score_gpt":0.3314947136858149,"score_spread":0.2870089395020905,"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."}}