{"id":"W4409687854","doi":"10.1503/cmaj.241411","title":"Impact of the COVID-19 pandemic on tuberculosis program performance in Alberta, Canada: a population-based evaluation","year":2025,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Alberta","funders":"University of Alberta; Alberta Health Services","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Tuberculosis; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Population; Betacoronavirus; Coronavirus Infections; Computer science; Medicine; Data science; Virology; Environmental health; Outbreak; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.01845348,0.001364448,0.0009284366,0.001765173,0.001987027,0.001982528,0.002819234,0.001193401,0.001191614],"category_scores_gemma":[0.02557188,0.0004218294,0.001887392,0.004048074,0.001701149,0.0007339865,0.001793394,0.001165866,0.0001114931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09523483,"about_ca_system_score_gemma":0.1376343,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9814818,"about_ca_topic_score_gemma":0.9778795,"domain_scores_codex":[0.9872857,0.004343039,0.0005055181,0.0007126443,0.005468958,0.0016842],"domain_scores_gemma":[0.9744297,0.005851924,0.003661227,0.0006897991,0.0103646,0.005002682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005690809,0.002381137,0.9112854,0.001151572,0.002039333,0.0001770281,0.001320084,0.01655568,0.0003064705,0.0006949049,0.005318783,0.05307876],"study_design_scores_gemma":[0.001227599,0.006118608,0.9696605,0.0004584042,0.001537352,0.00007454736,0.002087637,0.01538813,0.0004185496,0.0001875749,0.002729927,0.0001110774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982644,0.002882206,0.001029811,0.001264264,0.00008047994,0.001403859,0.005940445,0.0001054943,0.004649485],"genre_scores_gemma":[0.9925501,0.001073061,0.001997247,0.0003903207,0.00002895866,0.0004319474,0.002607745,0.00001198582,0.0009085932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09523483,"threshold_uncertainty_score":0.6909803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02538393340754752,"score_gpt":0.3768436969945163,"score_spread":0.3514597635869687,"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."}}