{"id":"W4409102242","doi":"10.1016/j.chest.2025.02.043","title":"Investigating the Long-Term Effects of COVID-19 Infection on Health Care Utilization in Individuals With COPD","year":2025,"lang":"en","type":"article","venue":"CHEST Journal","topic":"Respiratory viral infections research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Pulmonary disease; Coronavirus disease 2019 (COVID-19); Medicine; Intensive care medicine; Term (time); Disease; Long-term care; Health care; 2019-20 coronavirus outbreak; Chronic disease; Internal medicine; Virology; Infectious disease (medical specialty); Outbreak; Nursing; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001664022,0.0002989341,0.0004759376,0.0006472597,0.000875774,0.001377079,0.0005582407,0.0009851195,0.001627498],"category_scores_gemma":[0.005656204,0.0003224565,0.001656995,0.001154345,0.0003556354,0.001019128,0.001176882,0.001512228,0.0002517397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001229451,"about_ca_system_score_gemma":0.001302388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02366602,"about_ca_topic_score_gemma":0.0431408,"domain_scores_codex":[0.9984004,0.0004755711,0.0002200452,0.0002051714,0.0002452141,0.0004536746],"domain_scores_gemma":[0.9957883,0.0009179016,0.001687214,0.0001904091,0.0004947002,0.0009215663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003472949,0.0001745427,0.9970111,0.0000354145,0.0002388637,0.00004405187,0.00009340432,0.00003200944,0.00006679636,0.00002208214,0.00007715516,0.001857249],"study_design_scores_gemma":[0.000006404379,0.0002961803,0.9988944,0.00002455888,0.0001058221,0.00004081015,0.0003453808,0.0000817406,0.00003127674,0.00001789097,0.0001513184,0.000004345508],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974393,0.001187499,0.00003763974,0.0002299583,0.0000248255,0.00001261889,0.0005544695,0.000001384573,0.0005122462],"genre_scores_gemma":[0.9985904,0.0004221965,0.00006311907,0.0001151046,0.00003695971,0.00001816519,0.0004515944,0.000001142044,0.0003013104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02366602,"threshold_uncertainty_score":0.04705656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08448998277646687,"score_gpt":0.4317017434459756,"score_spread":0.3472117606695087,"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."}}