{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003129823,0.000626281,0.000750442,0.003109873,0.001677555,0.001352919,0.001590108,0.0007172853,0.001428134],"category_scores_gemma":[0.006122999,0.0004012113,0.002139818,0.007054324,0.0004590201,0.0006141798,0.001594655,0.001064857,0.0002327403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007199784,"about_ca_system_score_gemma":0.01110064,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9347402,"about_ca_topic_score_gemma":0.9474001,"domain_scores_codex":[0.9986196,0.0001719705,0.0001481168,0.0002112795,0.0004920029,0.0003571211],"domain_scores_gemma":[0.9957802,0.0003760119,0.001060774,0.0002811022,0.001662287,0.0008396683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007444118,0.00001323743,0.9984568,0.00003215926,0.0001602018,0.00001779233,0.0001554706,0.00005047652,0.00001902504,0.00001510675,0.0003658022,0.0006395868],"study_design_scores_gemma":[0.000003711731,0.00001474759,0.9993337,0.0000187689,0.00003579172,0.00001101825,0.0002301717,0.0001280744,0.000005241253,0.000006962105,0.0002071254,0.000004581768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742246,0.001462626,0.0001512007,0.0002908197,0.00002148211,0.00009453058,0.02287429,0.000009735459,0.0008707215],"genre_scores_gemma":[0.9829304,0.0006605021,0.0002402849,0.00009969932,0.00001496275,0.00008154756,0.0156948,0.000006431178,0.0002712736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06525981,"threshold_uncertainty_score":0.1312882,"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."}}