{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0230883,0.0005150044,0.0008285586,0.007001796,0.002074747,0.005240681,0.001451975,0.001247398,0.006554319],"category_scores_gemma":[0.06013525,0.0006135301,0.001546522,0.005727922,0.001879342,0.002932675,0.00405716,0.0009944803,0.001093179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006904084,"about_ca_system_score_gemma":0.01267494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02049914,"about_ca_topic_score_gemma":0.02010622,"domain_scores_codex":[0.9761573,0.01082815,0.004208293,0.002178445,0.005347086,0.001280661],"domain_scores_gemma":[0.9124016,0.04483205,0.01910354,0.006770712,0.01370369,0.003188409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003287245,0.0001688803,0.8658191,0.0008945591,0.0002393383,0.0001528271,0.01448979,0.001080744,0.0008013078,0.007823872,0.002400292,0.1058005],"study_design_scores_gemma":[0.00005957545,0.0005618609,0.9281257,0.002061167,0.0003463962,0.0005785663,0.02138102,0.006150381,0.001245281,0.00895383,0.03040509,0.0001312034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9220713,0.004956088,0.0254378,0.006179811,0.0001564804,0.001222688,0.003364901,0.0004775882,0.03613326],"genre_scores_gemma":[0.9787855,0.001108541,0.01539182,0.0003106618,0.00003500717,0.000625886,0.001059433,0.00003628313,0.002646848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0230883,"threshold_uncertainty_score":0.122104,"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."}}