{"id":"W4417445433","doi":"10.51473/rcmos.v1i1.2023.1851","title":"Modelos de inteligência artificial na atenção primária: desempenho, transparência e segurança na triagem de pacientes","year":2023,"lang":"","type":"article","venue":"RCMOS - Revista Científica Multidisciplinar O Saber","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Excellence; Interoperability; Clinical governance; Health care; Primary care; Patient safety; Corporate governance; Clinical decision support system","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":[0.01246111,0.000865602,0.0006861747,0.001911609,0.001417092,0.009807353,0.002711216,0.002989752,0.003732924],"category_scores_gemma":[0.03922014,0.0006087936,0.001320775,0.001555123,0.00703246,0.006849822,0.004498792,0.003260865,0.0007387545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00408346,"about_ca_system_score_gemma":0.005881052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00771074,"about_ca_topic_score_gemma":0.006124563,"domain_scores_codex":[0.9897454,0.006312798,0.0006125991,0.0009813652,0.001970012,0.0003778698],"domain_scores_gemma":[0.9717184,0.02157849,0.001753717,0.002397946,0.002029029,0.0005224352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000643594,0.00006650625,0.002923031,0.0002445927,0.00004926856,0.000212038,0.002669415,0.04895519,0.0004408278,0.9040298,0.00238754,0.03795741],"study_design_scores_gemma":[0.00005459183,0.00008265224,0.001159448,0.0005029883,0.0000985457,0.0002944311,0.001186234,0.2132155,0.0007898546,0.7348104,0.04775319,0.00005222544],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.034784,0.002980635,0.8762927,0.02309358,0.000343267,0.0004196312,0.0006122215,0.0005900796,0.06088387],"genre_scores_gemma":[0.6881832,0.003628272,0.2965842,0.001439047,0.0003138863,0.00106968,0.0006634069,0.0001282306,0.007989964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01246111,"threshold_uncertainty_score":0.06590146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1625026151694274,"score_gpt":0.4155110642776653,"score_spread":0.2530084491082378,"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."}}