{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002007008,0.0003828107,0.0001973744,0.000969551,0.0001501448,0.0004161623,0.0004472596,0.0003260877,0.0005292501],"category_scores_gemma":[0.00505916,0.0003129206,0.0002149351,0.0002420394,0.0003617392,0.000230707,0.0003165817,0.0002367607,0.0002061711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000490342,"about_ca_system_score_gemma":0.0002338757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005732575,"about_ca_topic_score_gemma":0.006485593,"domain_scores_codex":[0.9989039,0.0004397516,0.0001424939,0.0001912247,0.0002219193,0.0001006291],"domain_scores_gemma":[0.9979379,0.0008713531,0.0005955438,0.0001051556,0.0003676028,0.0001224603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002812118,0.00003262172,0.9904441,0.00003523355,0.00002958139,0.0001937744,0.0002573623,0.0001574262,0.002773321,0.00001689886,0.0001257318,0.005652741],"study_design_scores_gemma":[0.00003360338,0.0005204803,0.9936209,0.00003785329,0.00005588605,0.00115501,0.0001876664,0.002235037,0.0018945,0.0000132348,0.0002387968,0.000007069218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991548,0.0004372508,0.0001762924,0.00002124825,0.00000525068,0.000007155077,0.00006306676,0.000008909597,0.0001260443],"genre_scores_gemma":[0.999655,0.00004740051,0.0001967751,0.000009157382,0.000002862256,0.000002421606,0.00005363877,5.798129e-7,0.00003221444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005732575,"threshold_uncertainty_score":0.01139838,"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."}}