{"id":"W4294129414","doi":"10.1155/2022/3505142","title":"Compilation of 10 Years of MIRU-VNTR Data: Canadian National Tuberculosis Laboratory’s Experience","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Infectious Diseases and Medical Microbiology","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; BC Centre for Disease Control; Government of Nunavut; Saskatchewan Health Authority; University of Manitoba; Institut National de Santé Publique du Québec; Government of Northwest Territories; Manitoba Health; Public Health Agency of Canada","funders":"","keywords":"Tuberculosis; Contact tracing; Genotyping; Outbreak; Geography; Environmental health; Medicine; Genotype; Virology; Disease; Biology; Pathology; Infectious disease (medical specialty); Coronavirus disease 2019 (COVID-19)","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":[0.01459729,0.001267136,0.001245346,0.01800803,0.003098393,0.004548451,0.00328979,0.0009941075,0.004625747],"category_scores_gemma":[0.03608658,0.0008778672,0.0007880361,0.02380878,0.001455526,0.002024728,0.00318482,0.001649276,0.001865025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03250415,"about_ca_system_score_gemma":0.07534907,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9086998,"about_ca_topic_score_gemma":0.9423068,"domain_scores_codex":[0.9843014,0.001372779,0.002057978,0.001757162,0.009176421,0.001334249],"domain_scores_gemma":[0.9226763,0.005341629,0.004198503,0.00334197,0.05627412,0.008167445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004786815,0.0001856743,0.2414511,0.003048959,0.0004213011,0.003146921,0.00702259,0.001110887,0.001997993,0.001203717,0.2689489,0.4709833],"study_design_scores_gemma":[0.0000339704,0.0001313621,0.4050335,0.003238356,0.0002299715,0.002696122,0.005230675,0.0008966972,0.00102717,0.000361046,0.5809005,0.0002204541],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.354565,0.2446874,0.02037732,0.04862686,0.01060598,0.002513234,0.1775947,0.003531755,0.1374978],"genre_scores_gemma":[0.6284202,0.1561983,0.02879443,0.01124407,0.00249104,0.0004884126,0.1502859,0.001905369,0.02017217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09130019,"threshold_uncertainty_score":0.2358352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01809636406875073,"score_gpt":0.3016430232024674,"score_spread":0.2835466591337167,"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."}}