{"id":"W4400313206","doi":"10.1186/s12879-024-09562-z","title":"Diagnostic accuracy of the Xpert® MTB/XDR assay for detection of Isoniazid and second-line antituberculosis drugs resistance at central TB reference laboratory in Tanzania","year":2024,"lang":"en","type":"article","venue":"BMC Infectious Diseases","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Alliance for Accelerating Excellence in Science in Africa; African Academy of Sciences; New Partnership for Africa's Development; Government of the United Kingdom; Wellcome Trust","keywords":"Medicine; Capreomycin; Isoniazid; Amikacin; Tuberculosis; Rifampicin; Drug resistance; Extensively drug-resistant tuberculosis; Multi-drug-resistant tuberculosis; Mycobacterium tuberculosis; Ethionamide; Virology; GeneXpert MTB/RIF; Antibiotics; Ethambutol; Microbiology; Pathology; Biology","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"],"consensus_categories":[],"category_scores_codex":[0.0003891531,0.000170801,0.0004273556,0.0001659257,0.00009004102,0.00001552394,0.00008868642,0.0001203285,0.0000838949],"category_scores_gemma":[0.009744912,0.0001224032,0.0001481564,0.0004528019,0.000219607,0.0001268651,0.00007720503,0.0001902489,0.000004046546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002107454,"about_ca_system_score_gemma":0.0003173017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002598954,"about_ca_topic_score_gemma":0.006500995,"domain_scores_codex":[0.9983248,0.0003187805,0.0004389976,0.0003535618,0.000200553,0.0003633528],"domain_scores_gemma":[0.995225,0.004003603,0.0001172945,0.0003140272,0.0001796522,0.0001604863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007837428,0.0004040989,0.9599442,0.003647527,0.0001458021,0.00001000118,0.0002260132,0.00004568998,0.02957623,0.0006637176,0.002783071,0.001769834],"study_design_scores_gemma":[0.001316017,0.000363718,0.9747434,0.0007305866,0.0001983372,0.00001221447,0.00007124415,0.0009159173,0.01626513,0.000486291,0.004746884,0.000150283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871357,0.01048994,0.0001556475,0.0003439557,0.0002140897,0.0007890249,0.0005792689,0.000053375,0.0002389678],"genre_scores_gemma":[0.9979045,0.001390673,0.00003037748,0.0001988982,0.0001109348,0.0001622913,0.00002689918,0.00002374907,0.0001516315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01479911,"threshold_uncertainty_score":0.9985964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01579912174998117,"score_gpt":0.3042401681045562,"score_spread":0.2884410463545751,"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."}}