{"id":"W2762144207","doi":"10.1590/0102-311x00214515","title":"Impacto orçamentário da incorporação do GeneXpert MTB/RIF para o diagnóstico da tuberculose pulmonar na perspectiva do Sistema Único de Saúde, Brasil, 2013-2017","year":2017,"lang":"pt","type":"article","venue":"Cadernos de Saúde Pública","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"GeneXpert MTB/RIF; Medicine; Tuberculosis; Sputum","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":["metaresearch","metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.00435814,0.002065459,0.003572616,0.0009954476,0.002490354,0.001624194,0.003843754,0.002522589,0.00343728],"category_scores_gemma":[0.01780511,0.001898417,0.001531546,0.0005963094,0.002297742,0.00110425,0.001841131,0.00421831,0.003303587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003669488,"about_ca_system_score_gemma":0.00268483,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009867431,"about_ca_topic_score_gemma":0.0006372125,"domain_scores_codex":[0.9843822,0.002399208,0.002403707,0.003248554,0.001904105,0.005662302],"domain_scores_gemma":[0.9828888,0.002511782,0.001720206,0.006572546,0.0008657929,0.005440944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002335972,0.002381545,0.6201295,0.00142876,0.002803697,0.004794035,0.004986665,0.00006203963,0.03208408,0.002051677,0.3001654,0.02677655],"study_design_scores_gemma":[0.00746899,0.002293491,0.8106945,0.00258232,0.001498786,0.004025414,0.00326103,0.005767048,0.00331296,0.001264285,0.1546921,0.003139082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8563193,0.04444529,0.0007663965,0.07549158,0.001684114,0.003865467,0.0008104721,0.0004483949,0.01616901],"genre_scores_gemma":[0.9702508,0.01351383,0.0007358416,0.005257818,0.003844004,0.0006445019,0.00024953,0.0004488341,0.005054845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.190565,"threshold_uncertainty_score":0.9994122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08224911379102334,"score_gpt":0.381957249828116,"score_spread":0.2997081360370927,"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."}}