{"id":"W4291920457","doi":"10.52130/27639878-aanm2022v193n1p157-174","title":"Afogamento","year":2022,"lang":"pt","type":"article","venue":"Anais da Academia Nacional de Medicina","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Gynecology; Humanities; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001923801,0.0006922843,0.000619678,0.001817506,0.003588513,0.003638658,0.001226807,0.002161952,0.1023183],"category_scores_gemma":[0.008412953,0.0002589236,0.001010114,0.001760222,0.00149028,0.002163652,0.003753862,0.00222902,0.0190218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00197158,"about_ca_system_score_gemma":0.004233143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0110346,"about_ca_topic_score_gemma":0.0120707,"domain_scores_codex":[0.9973587,0.0005668064,0.0002026393,0.0004158188,0.0008054015,0.0006506535],"domain_scores_gemma":[0.9969998,0.000545311,0.000593358,0.0003281374,0.0008011037,0.0007323938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006301391,0.0003810334,0.08755808,0.001493908,0.0001904267,0.006386753,0.007757759,0.0002032287,0.001722286,0.04138276,0.2936143,0.5586794],"study_design_scores_gemma":[0.00003602121,0.0002721241,0.02981471,0.001445827,0.0001190593,0.008306684,0.005490027,0.0001573989,0.0005519609,0.008186655,0.9455736,0.00004605365],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1713052,0.03547603,0.01033186,0.05307706,0.009777915,0.0006496405,0.006262217,0.001150739,0.7119694],"genre_scores_gemma":[0.5788862,0.03143475,0.007201909,0.02523799,0.00310178,0.000529512,0.005592428,0.0005098944,0.3475054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1023183,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03407103971928942,"score_gpt":0.3470602453429282,"score_spread":0.3129892056236387,"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."}}