{"id":"W2472138188","doi":"10.1183/13993003.00543-2016","title":"Development, roll-out and impact of Xpert MTB/RIF for tuberculosis: what lessons have we learnt and how can we do better?","year":2016,"lang":"en","type":"review","venue":"European Respiratory Journal","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":300,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Tuberculosis; Quality assurance; Product (mathematics); Private sector; Scale (ratio); Health care; Operations management; Economic growth; Engineering; Pathology; External quality assessment","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":[0.04373965,0.00194822,0.001633275,0.001557548,0.002475907,0.01638775,0.004520203,0.01184811,0.01070692],"category_scores_gemma":[0.06190182,0.0007141322,0.002701299,0.001912546,0.009010179,0.02577629,0.005071154,0.01660925,0.004375674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006121742,"about_ca_system_score_gemma":0.03587514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0202146,"about_ca_topic_score_gemma":0.02177017,"domain_scores_codex":[0.9807705,0.007507213,0.001335183,0.001728868,0.005367182,0.003291043],"domain_scores_gemma":[0.9478711,0.02293523,0.003875478,0.002735046,0.01373897,0.008844157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003201337,0.0005284167,0.00494161,0.006965877,0.0002022739,0.0009430598,0.002778815,0.001391985,0.001288989,0.02659059,0.2189137,0.7351345],"study_design_scores_gemma":[0.0002042393,0.00170149,0.009953645,0.01685982,0.0004256177,0.001168553,0.0127019,0.001565773,0.003362046,0.07926966,0.8723267,0.0004604852],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.005872353,0.2125124,0.002796145,0.765219,0.007687899,0.00008331727,0.00030863,0.0003563023,0.005163917],"genre_scores_gemma":[0.1156172,0.5617809,0.01823607,0.2856835,0.008740802,0.0002980059,0.0009939083,0.0004417446,0.008207861],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.04373965,"threshold_uncertainty_score":0.2313201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1407481715134321,"score_gpt":0.4119246778414197,"score_spread":0.2711765063279876,"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."}}