{"id":"W3025623961","doi":"10.25248/reas.e3191.2020","title":"Série temporal do suicídio no Brasil: o que mudou após o Setembro Amarelo?","year":2020,"lang":"pt","type":"article","venue":"Revista Eletrônica Acervo Saúde","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Humanities; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00141467,0.0002180669,0.0003617533,0.002291301,0.0009977296,0.00127265,0.0004810381,0.0005587914,0.002472021],"category_scores_gemma":[0.00684115,0.0003814944,0.0003330888,0.003103138,0.001015704,0.001017068,0.0009445966,0.0006338962,0.0001952708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688532,"about_ca_system_score_gemma":0.00290773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1516113,"about_ca_topic_score_gemma":0.2789444,"domain_scores_codex":[0.999156,0.0001943479,0.0001145646,0.0001520522,0.0002442095,0.000138827],"domain_scores_gemma":[0.9958912,0.0006913414,0.002016787,0.000220514,0.0007816007,0.0003984748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006218623,0.00001931889,0.9671745,0.0003683564,0.00004679251,0.0002824987,0.007240807,0.00004815518,0.0003029153,0.0008389892,0.000707991,0.02290743],"study_design_scores_gemma":[0.000001623886,0.00004244016,0.9850578,0.0005352384,0.00004144414,0.0004745456,0.01051374,0.0001326835,0.00007815302,0.0002444814,0.002866572,0.00001139919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791723,0.00718695,0.0004663085,0.003320264,0.00006213369,0.00006368246,0.001565012,0.00001994565,0.008143579],"genre_scores_gemma":[0.9935993,0.004645855,0.0003682841,0.0002154282,0.00002346635,0.00002046305,0.000486924,0.000004521069,0.0006357837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1516113,"threshold_uncertainty_score":0.3014576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04537833181681377,"score_gpt":0.3188459094733087,"score_spread":0.2734675776564949,"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."}}