{"id":"W2789290702","doi":"10.1128/jcm.01778-17","title":"Universal Genotyping for Tuberculosis Prevention Programs: a 5-Year Comparison with On-Request Genotyping","year":2018,"lang":"en","type":"article","venue":"Journal of Clinical Microbiology","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; University of British Columbia","funders":"Canadian Institutes of Health Research; British Columbia Centre for Disease Control; Killam Trusts; Michael Smith Health Research BC; University of British Columbia; Canada Research Chairs; Government of Canada","keywords":"Genotyping; Tuberculosis; Mycobacterium tuberculosis; Biology; Genotype; Medicine; Virology; Genetics; Computational biology; Pathology; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01414394,0.0005799563,0.0007946899,0.0008584514,0.0005372157,0.0008234748,0.0009832915,0.001423053,0.0009332297],"category_scores_gemma":[0.02153105,0.0003153897,0.00111563,0.001051253,0.0006053241,0.001369128,0.00119088,0.0008409831,0.000106446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002235024,"about_ca_system_score_gemma":0.00197419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0255941,"about_ca_topic_score_gemma":0.02718165,"domain_scores_codex":[0.9897883,0.005909734,0.0006376514,0.001064077,0.001349342,0.001250884],"domain_scores_gemma":[0.9861428,0.00482957,0.00474337,0.0008630948,0.001221729,0.00219942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02365282,0.002395414,0.9055205,0.0003983611,0.0008872868,0.0002423765,0.0009535862,0.001614129,0.000557041,0.0002309956,0.0008930234,0.06265444],"study_design_scores_gemma":[0.0003455321,0.01156283,0.9845386,0.00007085746,0.0004003174,0.0001188128,0.0004212626,0.001768181,0.0002023387,0.00005864455,0.0004901212,0.00002254709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973543,0.00113688,0.0003927379,0.0001584751,0.00004264062,0.00009707594,0.0003039344,0.000014165,0.0004997318],"genre_scores_gemma":[0.9989005,0.0002124437,0.0002528731,0.00009107676,0.00001342682,0.00004948855,0.0003975015,0.000002663015,0.00007989686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0255941,"threshold_uncertainty_score":0.07480121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1191588416571099,"score_gpt":0.4507235012815811,"score_spread":0.3315646596244711,"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."}}