{"id":"W4312219536","doi":"10.1093/ageing/afac289","title":"Frailty and the impacts of the COVID-19 pandemic on community-living middle-aged and older adults: an analysis of data from the Canadian Longitudinal Study on Aging (CLSA)","year":2022,"lang":"en","type":"article","venue":"Age and Ageing","topic":"Frailty in Older Adults","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; McGill University Health Centre; McGill University; Impact; University of Calgary; McMaster University","funders":"Sam and Rose Stein Institute for Research on Aging; Canadian Institutes of Health Research; Public Health Agency of Canada; McMaster University","keywords":"Pandemic; Medicine; Gerontology; Public health; Psychological intervention; Quartile; Longitudinal study; Health care; Coronavirus disease 2019 (COVID-19); Demography; Cross-sectional study; Environmental health; Disease; Confidence interval; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00207536,0.0001673388,0.0004163329,0.0001504484,0.00147789,0.00006257779,0.0005269312,0.00003746671,0.00004802371],"category_scores_gemma":[0.001060272,0.00009122452,0.00005382054,0.0004666838,0.000326367,0.0001123274,0.0006359437,0.0008272984,9.990668e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009296412,"about_ca_system_score_gemma":0.0001079844,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5924333,"about_ca_topic_score_gemma":0.8578322,"domain_scores_codex":[0.9974921,0.001308287,0.0002887721,0.0003063199,0.0003864631,0.0002180502],"domain_scores_gemma":[0.9952049,0.003047879,0.0001833917,0.001352912,0.00002587146,0.0001850867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001545343,0.0001445011,0.9217616,0.00004763882,0.0007041171,0.00019264,0.07466993,0.00006702106,0.00008673323,0.00001051774,0.0001155284,0.002045199],"study_design_scores_gemma":[0.002253478,0.0002245771,0.9516513,0.000286796,0.001170521,0.00001594835,0.04287444,0.001334839,0.000003606031,0.00002995249,0.00006297551,0.00009153542],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967792,0.0005061073,0.00001056703,0.001649727,0.00003460033,0.0006051867,0.0003388178,0.00001269431,0.0000631106],"genre_scores_gemma":[0.9968972,0.00005099092,0.00001305106,0.002848716,0.0000333389,0.00001201221,0.0001061959,0.00001452334,0.00002395221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2653989,"threshold_uncertainty_score":0.999822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1689232877009625,"score_gpt":0.3615987916084017,"score_spread":0.1926755039074392,"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."}}