{"id":"W4281902198","doi":"10.5335/rbceh.v18i3.13626","title":"CLASSIFICAÇÃO DE PRIORIDADE PARA CONSULTAS AMBULATORIAIS DE IDOSOS EM SISTEMA DE REGULAÇÃO INFORMATIZADO","year":2022,"lang":"pt","type":"article","venue":"Revista Brasileira de Ciências do Envelhecimento Humano","topic":"Public Health in Brazil","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.02247405,0.00135203,0.001908783,0.0008335257,0.007593031,0.002823097,0.003855151,0.001091035,0.006717891],"category_scores_gemma":[0.004703658,0.001671726,0.0008501823,0.003021429,0.0008952281,0.001240179,0.001352693,0.003682217,0.0005971874],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01789038,"about_ca_system_score_gemma":0.01265002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001270773,"about_ca_topic_score_gemma":0.0003651801,"domain_scores_codex":[0.9779137,0.008348507,0.003347379,0.001699783,0.003482379,0.005208299],"domain_scores_gemma":[0.9896768,0.0021921,0.002416092,0.002241275,0.0004836068,0.002990143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005647951,0.001969732,0.212248,0.003733488,0.001080421,0.0006289667,0.3118689,0.0005183393,0.003003789,0.1718876,0.2851346,0.007361258],"study_design_scores_gemma":[0.002926027,0.0005438451,0.16305,0.0007399532,0.000503114,0.000291689,0.0576665,0.001986478,0.0002592136,0.0007268593,0.7689739,0.0023324],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655321,0.006926544,0.001659026,0.003405636,0.002051763,0.004642779,0.0009031412,0.001028012,0.01385104],"genre_scores_gemma":[0.9757178,0.0004176819,0.000962347,0.006476165,0.001758624,0.001086463,0.0001511587,0.0002727735,0.01315692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4838392,"threshold_uncertainty_score":0.9999231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06388595246907575,"score_gpt":0.352244477870892,"score_spread":0.2883585254018162,"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."}}