{"id":"W3059303181","doi":"10.1093/cid/ciaa1224","title":"Using Whole-genome Sequencing to Determine the Timing of Secondary Tuberculosis in British Columbia, Canada","year":2020,"lang":"en","type":"article","venue":"Clinical Infectious Diseases","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; University of British Columbia","funders":"","keywords":"Genotyping; Medicine; Whole genome sequencing; Tuberculosis; Genome; Mycobacterium tuberculosis; Epidemiology; Transmission (telecommunications); Genetics; Genotype; Internal medicine; Biology; Pathology; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005802228,0.0004562742,0.0004187155,0.002041924,0.001858322,0.001182478,0.000970147,0.0003989411,0.001511497],"category_scores_gemma":[0.002008714,0.0003310743,0.0003513502,0.005031955,0.0003649206,0.0001958014,0.0005878272,0.0007881731,0.0003389043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02147646,"about_ca_system_score_gemma":0.02465435,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.997295,"about_ca_topic_score_gemma":0.9984285,"domain_scores_codex":[0.9992114,0.00005845191,0.00004838754,0.0001766658,0.0002394918,0.0002655583],"domain_scores_gemma":[0.9983032,0.0001232091,0.0002151093,0.00005862645,0.0009926993,0.0003070503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001784159,0.00004488762,0.9545782,0.0001400876,0.0001531886,0.0002150465,0.0007304263,0.001693008,0.002054984,0.0002771874,0.008051929,0.0318826],"study_design_scores_gemma":[0.00001488742,0.00001976261,0.9923853,0.0001043759,0.00006152441,0.00008915947,0.00090221,0.001942002,0.0004254822,0.00008140389,0.00395463,0.00001939255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9570996,0.003567602,0.001797041,0.0010884,0.00006039748,0.0001356434,0.02919612,0.0001308382,0.006924315],"genre_scores_gemma":[0.9861138,0.001549551,0.002111312,0.0004127269,0.00001207267,0.00004633561,0.006663451,0.00003967682,0.003050938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02147646,"threshold_uncertainty_score":0.1558233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1060976774016201,"score_gpt":0.3694787377603346,"score_spread":0.2633810603587146,"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."}}