{"id":"W2969067453","doi":"10.58694/20.500.12479/297","title":"Characterization of mutations in drug resistant tuberculosis and diagnostic challenges in referral health facilities, Tanzania","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":0,"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; Tanzania Government; Nelson Mandela African Institution of Science and Technology; National Institute of Advanced Industrial Science and Technology; Government of the United Kingdom; Wellcome Trust","keywords":"INHA; Tuberculosis; GeneXpert MTB/RIF; Mycobacterium tuberculosis; Rifampicin; Mycobacterium tuberculosis complex; rpoB; Medicine; Genotyping; Genotype; Virology; Drug resistance; Tanzania; Nontuberculous mycobacteria; Biology; Mycobacterium; Microbiology; Genetics; Pathology; Gene","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":[0.0003625196,0.0001701593,0.0001590004,0.0009854847,0.0003225617,0.0003468863,0.0002351813,0.0002628198,0.0005763771],"category_scores_gemma":[0.001289667,0.0002111412,0.000150121,0.0005453608,0.0002396448,0.0001268049,0.0002894452,0.0001811177,0.000110319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000293129,"about_ca_system_score_gemma":0.0002845255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005701824,"about_ca_topic_score_gemma":0.01020406,"domain_scores_codex":[0.9997516,0.00005644971,0.00003152495,0.00005307023,0.00004833689,0.00005887215],"domain_scores_gemma":[0.9995454,0.0001024856,0.0002064187,0.00002222766,0.0000680154,0.00005542474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001222733,0.00005770997,0.9454653,0.00007271129,0.00001582012,0.00155888,0.002035781,0.0001138924,0.04332715,0.00004844185,0.000136708,0.007045307],"study_design_scores_gemma":[0.000006502148,0.0001725356,0.9948279,0.00002438709,0.00001610016,0.001715457,0.001109398,0.0002257145,0.001492839,0.00001954055,0.0003846472,0.000004846653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996281,0.0001132251,0.00006628392,0.00001667137,0.000001237128,0.000008056842,0.00008418103,0.000002028381,0.00008019966],"genre_scores_gemma":[0.9993265,0.00007478835,0.0003006619,0.00002880215,0.0000016891,0.000005790001,0.0001882799,0.000001340838,0.00007234979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005701824,"threshold_uncertainty_score":0.01133722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04894392061535224,"score_gpt":0.3400343175302148,"score_spread":0.2910903969148625,"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."}}