{"id":"W4405708467","doi":"10.51161/iii-conasau/47504","title":"REVISÃO SISTEMÁTICA SOBRE O IMPACTO DA IMPLEMENTAÇÃO DA INTELIGÊNCIA ARTIFICIAL GENERATIVA NO SISTEMA ÚNICO DE SAÚDE","year":2024,"lang":"pt","type":"article","venue":"","topic":"Public Health in Brazil","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WSP (Canada)","funders":"","keywords":"Computer science; Humanities; 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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.007727833,0.0008270287,0.00107573,0.0004111659,0.001700934,0.003505982,0.001484687,0.0007501987,0.0204021],"category_scores_gemma":[0.002465586,0.0007530437,0.0006282325,0.002241889,0.0006238648,0.001091335,0.0005917042,0.001149928,0.006954384],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003089744,"about_ca_system_score_gemma":0.007140503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004471656,"about_ca_topic_score_gemma":0.006878267,"domain_scores_codex":[0.9891585,0.002061914,0.002364064,0.001572995,0.001770708,0.003071869],"domain_scores_gemma":[0.9947946,0.001349473,0.0003593685,0.001097447,0.0005081182,0.001890968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008142674,0.000338407,0.0007317021,0.002527512,0.0004647446,0.0001791196,0.0274279,0.000006772797,0.002746758,0.1249443,0.7392286,0.1013228],"study_design_scores_gemma":[0.0002266987,0.0003550351,0.0002830764,0.0009602288,0.0002237564,0.00003228271,0.01136611,0.005866225,0.0007602805,0.001829474,0.9770433,0.001053494],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06701619,0.01021937,0.007475109,0.2474414,0.02529582,0.006413858,0.001453405,0.002662545,0.6320223],"genre_scores_gemma":[0.9061121,0.001131362,0.001079909,0.008824457,0.008554104,0.0002044483,0.0001244862,0.0001930712,0.07377604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.839096,"threshold_uncertainty_score":0.9995987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1210095093097372,"score_gpt":0.4297229560346053,"score_spread":0.3087134467248681,"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."}}