{"id":"W4378700952","doi":"10.1590/1413-81232023286.13672022","title":"Resolutividade no Subsistema de Atenção à Saúde Indígena (SASI-SUS): análise em um serviço de referência no Amazonas, Brasil","year":2023,"lang":"pt","type":"article","venue":"Ciência & Saúde Coletiva","topic":"Indigenous Health and Education","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Indigenous; Population; Health care; Nursing; Sociology; Medicine; Political science; Law; Demography","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.008017015,0.001515745,0.001908738,0.001183913,0.005478048,0.0002359091,0.001877328,0.003002315,0.002939282],"category_scores_gemma":[0.003951588,0.001684972,0.0006169314,0.003859375,0.0002928518,0.0004914937,0.0007523792,0.00453227,0.05042208],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006869305,"about_ca_system_score_gemma":0.02117067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006128458,"about_ca_topic_score_gemma":0.007927275,"domain_scores_codex":[0.9804742,0.004880756,0.003126714,0.002161118,0.001548819,0.007808409],"domain_scores_gemma":[0.9881548,0.002443136,0.001615367,0.002666039,0.001986305,0.003134345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002403632,0.001275409,0.1549355,0.01106523,0.0002956874,0.0004010864,0.08946887,0.00005312857,0.003632519,0.0008728142,0.7296545,0.005941597],"study_design_scores_gemma":[0.002914326,0.0008502535,0.5156301,0.004527807,0.0003319348,0.00005536382,0.01770519,0.001496902,0.0005641922,0.0004868647,0.4534999,0.001937227],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9313406,0.002412769,0.00009464513,0.01039823,0.009798802,0.005862115,0.0008112179,0.001314982,0.03796659],"genre_scores_gemma":[0.8549598,0.00311279,0.0006162566,0.01680445,0.009447465,0.001525673,0.001385975,0.0007180889,0.1114295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3606946,"threshold_uncertainty_score":0.9997591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05887458066607145,"score_gpt":0.3707803049848443,"score_spread":0.3119057243187728,"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."}}