{"id":"W4390063192","doi":"10.1093/ageing/afad225","title":"The role of multimorbidity and socio-economic characteristics as potential risk factors for Long Covid: evidence from the multilevel analysis of the Survey of Health, Ageing and Retirement in Europe’s corona surveys (2020–2021)","year":2023,"lang":"en","type":"article","venue":"Age and Ageing","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institute on Aging","keywords":"Medicine; Demography; Coronavirus disease 2019 (COVID-19); Population; Confidence interval; Population ageing; Gerontology; Environmental health; Disease","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01026685,0.0004775652,0.0009546367,0.001806075,0.0008689563,0.001274992,0.001481354,0.001052137,0.002281607],"category_scores_gemma":[0.02144142,0.000619111,0.004309676,0.002236446,0.0007366504,0.0009395857,0.002568234,0.001527913,0.0001752952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005784643,"about_ca_system_score_gemma":0.0009450418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03627674,"about_ca_topic_score_gemma":0.03915919,"domain_scores_codex":[0.9928249,0.004334196,0.000536257,0.001010805,0.0007095608,0.0005843129],"domain_scores_gemma":[0.9779841,0.008721345,0.007299288,0.002860229,0.001686836,0.001448159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001066886,0.00002300647,0.9962335,0.0000759836,0.001388985,0.00002615855,0.0001623281,0.00007118848,0.00001864452,0.00007799401,0.0001582938,0.001657228],"study_design_scores_gemma":[0.00001009165,0.00006911608,0.9983433,0.00008790984,0.0003851638,0.00003854216,0.0002119336,0.0005179719,0.00001428411,0.0001166549,0.0001976065,0.000007356432],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862298,0.007786782,0.001380813,0.001055533,0.00005841222,0.00005858707,0.002302279,0.00001320759,0.001114705],"genre_scores_gemma":[0.9971157,0.001263002,0.0005380092,0.0001065139,0.00003390412,0.00003522934,0.0007989905,0.000005687429,0.0001029816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03627674,"threshold_uncertainty_score":0.07213116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04422026646657761,"score_gpt":0.3282837509555889,"score_spread":0.2840634844890113,"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."}}