{"id":"W4411681530","doi":"10.70673/rcecrfba.v4i1.71","title":"PERFIL DE INTOXICAÇÃO POR MEDICAMENTOS NO ESTADO DA BAHIA, BRASIL: UMA ANÁLISE DO PERÍODO DE 2015 A 2024","year":2025,"lang":"pt","type":"article","venue":"Revista Científica Eletrônica do Conselho Regional de Farmácia da Bahia","topic":"Public Health in Brazil","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008851599,0.0002743696,0.0003252231,0.001808639,0.0005976759,0.000937324,0.0002304353,0.0003346262,0.001464411],"category_scores_gemma":[0.002768443,0.0002539779,0.0006032875,0.002331516,0.0003908426,0.0005572514,0.0006642605,0.0003853429,0.0001167861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001476553,"about_ca_system_score_gemma":0.001714046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1035145,"about_ca_topic_score_gemma":0.1373471,"domain_scores_codex":[0.9993054,0.0001126836,0.0001614038,0.00008580375,0.0002286621,0.0001061696],"domain_scores_gemma":[0.9982378,0.000256348,0.0009145365,0.00005476708,0.0003910687,0.0001454667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000135009,0.0000371861,0.9789903,0.0006727711,0.00008094037,0.0001974181,0.002360133,0.00006164212,0.0007853592,0.0001152043,0.000479167,0.01608476],"study_design_scores_gemma":[0.000002263248,0.0001188854,0.9943427,0.0002782003,0.00006760738,0.0002425081,0.002956889,0.00005841135,0.0001546063,0.00002992213,0.001740429,0.000007564453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825814,0.00855312,0.0003308851,0.000461496,0.00003343192,0.0001446083,0.004414496,0.00001534224,0.003465233],"genre_scores_gemma":[0.9909744,0.006333002,0.000460243,0.0001449107,0.00001644027,0.0000751374,0.001123214,0.000002920503,0.0008697882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1035145,"threshold_uncertainty_score":0.205824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.037636594726004,"score_gpt":0.3667792566537176,"score_spread":0.3291426619277136,"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."}}