{"id":"W4408993723","doi":"10.1080/13696998.2025.2482372","title":"Characterizing the clinical and economic burden of COVID-19 among individuals with immunocompromising conditions in Ontario, Canada – a matched, population-based observational study","year":2025,"lang":"en","type":"article","venue":"Journal of Medical Economics","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"AstraZeneca (Canada)","funders":"","keywords":"Medicine; Observational study; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Vaccination; 2019-20 coronavirus outbreak; Population; Demography; Pediatrics; Gerontology; Family medicine; Internal medicine; Virology; Environmental health; Outbreak; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002732665,0.0001113232,0.0005778481,0.0001997211,0.00008227526,0.0000389103,0.0002576267,0.0001094947,0.00007335081],"category_scores_gemma":[0.0006333696,0.0000805847,0.00007483357,0.00008579374,0.0001975156,0.0001099737,0.00006267877,0.0007251073,3.740588e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009561108,"about_ca_system_score_gemma":0.02013969,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7566786,"about_ca_topic_score_gemma":0.8922901,"domain_scores_codex":[0.9979913,0.0001391238,0.001226444,0.0001624352,0.0003216268,0.0001591219],"domain_scores_gemma":[0.9978312,0.001294208,0.0004987699,0.000177099,0.00007261436,0.0001260731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002912842,0.0001367112,0.9982266,0.0000375264,0.0002383819,0.00004344947,0.0003463465,0.0001912446,0.00001390878,0.0001373416,0.00009646166,0.0002407073],"study_design_scores_gemma":[0.005449799,0.0001983338,0.9867058,0.0002069002,0.00007952782,0.0000336987,0.001310005,0.002356474,0.00002690821,0.0002352396,0.003328737,0.00006860442],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868047,0.00003822889,0.00003105973,0.0125034,0.0001626623,0.0004032582,0.0000101473,0.000003375349,0.00004312851],"genre_scores_gemma":[0.9840086,0.000005643087,0.0001112285,0.01574008,0.0001008829,0.00001145398,0.000005914662,0.00000994718,0.000006224151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1356115,"threshold_uncertainty_score":0.9854152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08074085739630515,"score_gpt":0.3838038245001403,"score_spread":0.3030629671038352,"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."}}