{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004260977,0.000656693,0.0004728051,0.001054993,0.0003273742,0.001694824,0.0005334208,0.0006163754,0.001325494],"category_scores_gemma":[0.01277902,0.0004019601,0.00116028,0.001286829,0.0006760557,0.001156598,0.0008708988,0.0004998011,0.0001288418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008391897,"about_ca_system_score_gemma":0.006239984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1568588,"about_ca_topic_score_gemma":0.1454201,"domain_scores_codex":[0.9968303,0.001765157,0.0001278911,0.0002495775,0.0005432424,0.0004837969],"domain_scores_gemma":[0.9947698,0.003292134,0.0008065964,0.0001693293,0.0007511486,0.0002109879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00290276,0.0005442408,0.5606177,0.002784607,0.001652956,0.001349551,0.0009703307,0.2390311,0.006496962,0.01866193,0.003461796,0.1615261],"study_design_scores_gemma":[0.0005389733,0.002792378,0.6888393,0.002824347,0.005974112,0.001556228,0.004341696,0.239092,0.01025273,0.01066808,0.0329291,0.0001910251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565366,0.009604899,0.004535078,0.004585605,0.00007006797,0.0002055182,0.003058094,0.0000789944,0.02132521],"genre_scores_gemma":[0.9945092,0.002790295,0.001570504,0.0001580598,0.00001297893,0.00003981537,0.0003270374,0.00000801149,0.000584166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1568588,"threshold_uncertainty_score":0.3118917,"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."}}