{"id":"W4307037098","doi":"10.2196/35025","title":"Effect of Comorbidities on the Infection Rate and Severity of COVID-19: Nationwide Cohort Study With Propensity Score Matching","year":2022,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Science and ICT, South Korea; National Research Foundation","keywords":"Medicine; Comorbidity; Propensity score matching; Medicaid; Cohort; Intensive care unit; Cohort study; Internal medicine; Coronavirus disease 2019 (COVID-19); Severity of illness; Emergency medicine; Intensive care medicine; Pediatrics; Health care; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003950201,0.0004888095,0.0005575922,0.001073755,0.0007471524,0.0008152137,0.0005382385,0.0004742838,0.001421698],"category_scores_gemma":[0.00745712,0.0004675682,0.001399091,0.0016491,0.0003687118,0.000808196,0.0007947013,0.0007614688,0.0001604483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004937264,"about_ca_system_score_gemma":0.0008077414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006417638,"about_ca_topic_score_gemma":0.006366562,"domain_scores_codex":[0.9973897,0.0007707299,0.0003573776,0.000771466,0.000387374,0.0003233441],"domain_scores_gemma":[0.9963112,0.0006771472,0.001492546,0.0007865078,0.0003506259,0.0003818805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002632219,0.00003334872,0.9982292,0.000007383049,0.0002744006,0.00003426219,0.00002752829,0.000103613,0.00006348065,0.00004313299,0.0001554014,0.0007651509],"study_design_scores_gemma":[0.00004907297,0.0001974253,0.9949744,0.00001253516,0.0003504205,0.0002171363,0.0001244179,0.003432245,0.00006917976,0.0001406206,0.0004200279,0.00001266351],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978048,0.0002487773,0.0009377562,0.00007181717,0.00002473851,0.00004932759,0.0005670621,0.000006530878,0.0002891666],"genre_scores_gemma":[0.9988362,0.00006916769,0.0002987974,0.00003152418,0.0000132313,0.00003399062,0.0006170502,0.00000367021,0.00009628108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006417638,"threshold_uncertainty_score":0.02089095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07697325761183281,"score_gpt":0.4113257743006762,"score_spread":0.3343525166888434,"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."}}