{"id":"W2251270726","doi":"10.1016/s2214-109x(15)00269-7","title":"Xpert MTB/RIF for tuberculosis testing: access and price in highly privatised health markets","year":2016,"lang":"en","type":"letter","venue":"The Lancet Global Health","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut national de psychiatrie légale Philippe-Pinel; McGill University","funders":"","keywords":"Tuberculosis; Private sector; GeneXpert MTB/RIF; Health care; Medicine; Developing country; Public health; Public sector; Business; Sputum; Economic growth; Nursing; Political science; Economics; Pathology","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"],"consensus_categories":[],"category_scores_codex":[0.004306399,0.0005204307,0.002290425,0.0001614184,0.000278817,0.00006007148,0.0007755921,0.0005966576,0.0000321418],"category_scores_gemma":[0.002746817,0.0003059339,0.00014165,0.0005521381,0.0002537522,0.0001126981,0.0003266591,0.001589653,0.00002173281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751359,"about_ca_system_score_gemma":0.002033086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004180475,"about_ca_topic_score_gemma":0.0004149709,"domain_scores_codex":[0.9934499,0.001302247,0.001081767,0.0009650171,0.0005516591,0.00264946],"domain_scores_gemma":[0.9950431,0.002621093,0.0005551876,0.001067718,0.0001797954,0.000533129],"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":[0.000602814,0.00004166846,0.03739519,0.002404996,0.0001033178,0.00003564038,0.00004011658,2.755377e-7,0.000002612562,0.0002056292,0.9107779,0.04838984],"study_design_scores_gemma":[0.002746725,0.0007913172,0.2774861,0.001392602,0.00001971002,0.0001616403,0.000004771731,0.0001344372,0.000001111684,0.002389647,0.7146338,0.00023822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003986999,0.00490199,0.0001501692,0.9832258,0.0003422323,0.003574897,0.0008920591,0.0001330556,0.002792822],"genre_scores_gemma":[0.004191905,0.009201777,0.001787082,0.9762955,0.007332908,0.0004105481,0.0003549528,0.00006761074,0.0003576788],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2400909,"threshold_uncertainty_score":0.9999393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1145685933955199,"score_gpt":0.4389645400854522,"score_spread":0.3243959466899323,"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."}}