{"id":"W4309908822","doi":"10.1093/ofid/ofac640","title":"An Elastic Net Regression Model for Identifying Long COVID Patients Using Health Administrative Data: A Population-Based Study","year":2022,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Advancing Health Outcomes; St. Michael's Hospital; St. Paul's Hospital; University Health Network; University of Toronto; BC Centre for Disease Control; University of British Columbia","funders":"Canadian Institutes of Health Research; British Columbia Centre for Disease Control; Provincial Health Services Authority","keywords":"Medicine; Logistic regression; Coronavirus disease 2019 (COVID-19); Cohort; Diagnosis code; Population; Internal medicine; Disease; Environmental health; 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":[0.0177135,0.001380512,0.001331974,0.002162215,0.0007358004,0.001661159,0.002843933,0.001477052,0.003574659],"category_scores_gemma":[0.03150122,0.0008497245,0.001771376,0.001751867,0.0007558783,0.001577705,0.001814505,0.002440434,0.0006382187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428139,"about_ca_system_score_gemma":0.001841155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02637727,"about_ca_topic_score_gemma":0.01383169,"domain_scores_codex":[0.9955178,0.003053347,0.0001769983,0.0007429735,0.0002428549,0.0002661741],"domain_scores_gemma":[0.9745807,0.02076916,0.001839556,0.0008645952,0.001406099,0.0005398075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002042581,0.001289549,0.8031719,0.0001420788,0.001218847,0.0007708931,0.0003833352,0.1564724,0.0002289206,0.002911935,0.003649585,0.02771789],"study_design_scores_gemma":[0.00008689666,0.0001870738,0.02816136,0.00003268778,0.0001146561,0.0001000629,0.0001900992,0.9694459,0.0000474336,0.001253786,0.0003575921,0.0000223343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9281975,0.0003174899,0.0662332,0.001100484,0.00006932107,0.0003980667,0.002375962,0.0001567296,0.001151361],"genre_scores_gemma":[0.9757387,0.0001987204,0.0190847,0.0001797217,0.00004518333,0.0004505015,0.002887562,0.00003138955,0.001383628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02637727,"threshold_uncertainty_score":0.09367907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1003379249758829,"score_gpt":0.4488872626734702,"score_spread":0.3485493376975872,"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."}}