{"id":"W4375955355","doi":"10.1093/cid/ciad290","title":"Healthcare Utilization After Respiratory Tuberculosis: A Controlled Interrupted Time Series Analysis","year":2023,"lang":"en","type":"article","venue":"Clinical Infectious Diseases","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre; Centre for Advancing Health Outcomes; St. Paul's Hospital; BC Centre for Disease Control; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Health Canada; Michael Smith Health Research BC; Canadian Institutes of Health Research; McGill University Health Centre; McGill University","keywords":"Medicine; Tuberculosis; Propensity score matching; Pediatrics; Health care; Cohort; Confidence interval; Cohort study; Disease; Emergency medicine; Intensive care medicine; Internal medicine","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":[0.03707525,0.001269069,0.002404339,0.003184853,0.0007241126,0.002298823,0.003468776,0.001992201,0.00381734],"category_scores_gemma":[0.05081083,0.0008458066,0.005351669,0.003720685,0.001297119,0.001084309,0.001556946,0.002141048,0.0003694001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002071512,"about_ca_system_score_gemma":0.002140438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02538401,"about_ca_topic_score_gemma":0.008471602,"domain_scores_codex":[0.9803402,0.0130661,0.001258466,0.002697294,0.001567852,0.001070196],"domain_scores_gemma":[0.9356901,0.0419101,0.01281709,0.006176111,0.002188491,0.001218159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02884146,0.003302162,0.846387,0.002005975,0.03360504,0.00176604,0.0008075228,0.04693227,0.001178891,0.005471288,0.004288981,0.02541351],"study_design_scores_gemma":[0.003992832,0.007873548,0.4716047,0.0006108287,0.01498306,0.001011703,0.0009084229,0.4881458,0.0009638945,0.003920392,0.005660624,0.0003241837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503731,0.007180581,0.033778,0.0007466819,0.0003422434,0.001115278,0.005158165,0.0001441546,0.001161752],"genre_scores_gemma":[0.987404,0.00110126,0.005273378,0.0001475514,0.0001459697,0.0008874803,0.004302215,0.00003122932,0.0007069377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03707525,"threshold_uncertainty_score":0.196075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08332545774025944,"score_gpt":0.4413838768894051,"score_spread":0.3580584191491456,"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."}}