{"id":"W4200494372","doi":"10.1093/infdis/jiab608","title":"Impact of COVID-19 on Tuberculosis Prevention and Treatment in Canada: A Multicenter Analysis of 10 833 Patients","year":2021,"lang":"en","type":"article","venue":"The Journal of Infectious Diseases","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"West Park Healthcare Centre; Toronto Western Hospital; University of Toronto; University Health Network; McGill University; St. Michael's Hospital; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé","keywords":"Tuberculosis; Medicine; Pandemic; Latent tuberculosis; Active tuberculosis; Coronavirus disease 2019 (COVID-19); Public health; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Internal medicine; Virology; Mycobacterium tuberculosis; Outbreak; Pathology; Disease; Infectious disease (medical specialty)","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":[0.001380591,0.0004937502,0.0007503451,0.0006039278,0.002137667,0.001064654,0.0009282287,0.0005932144,0.0009266828],"category_scores_gemma":[0.003494401,0.0005141638,0.0007510902,0.003042424,0.0008363146,0.0002788824,0.0008395475,0.001152696,0.000153195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01829214,"about_ca_system_score_gemma":0.01970843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.940648,"about_ca_topic_score_gemma":0.9534523,"domain_scores_codex":[0.9981767,0.000328132,0.0001323386,0.0002460947,0.0005584664,0.000558362],"domain_scores_gemma":[0.9959649,0.0004096045,0.001188839,0.0001983937,0.001006316,0.001231932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006154543,0.0000789356,0.9949812,0.00002915232,0.0001241091,0.00008367169,0.0002601197,0.0001989181,0.0001577503,0.0000299921,0.0004542189,0.002986505],"study_design_scores_gemma":[0.00005701608,0.0001479137,0.9986891,0.00001452537,0.00004449047,0.00005332785,0.0003234237,0.0002670974,0.00005505782,0.000006835156,0.0003328598,0.000008327595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972357,0.0004898576,0.0000420182,0.0001626719,0.000004977284,0.00004494083,0.001604841,0.00000394791,0.000411102],"genre_scores_gemma":[0.9976882,0.000282804,0.0001105453,0.0001376304,0.00001033059,0.00002304597,0.001546913,0.00000345949,0.0001970654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05935204,"threshold_uncertainty_score":0.1327194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02584981682043476,"score_gpt":0.4001356336817899,"score_spread":0.3742858168613551,"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."}}