{"id":"W4205625631","doi":"10.1093/geroni/igab059","title":"Trajectories of Frailty With Aging: Coordinated Analysis of Five Longitudinal Studies","year":2022,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Frailty in Older Adults","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Université de Sherbrooke; University of Victoria; Lakehead University","funders":"National Institute on Aging; Engineering and Physical Sciences Research Council; National Institutes of Health; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Alzheimer’s Research UK; ZonMw; University College London; Government of the United Kingdom; University of Michigan; Age UK; National Institute for Health and Care Research; Ministero della Salute; National Institute on Minority Health and Health Disparities; Alan Turing Institute","keywords":"Cohort; Longitudinal study; Gerontology; Medicine; Demography; Cohort study; Comparability; Frailty Index; Longitudinal data; Healthy aging; Cardiovascular health; Internal medicine; Disease; Mathematics","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":[0.04967384,0.0008669721,0.001695855,0.005160394,0.001378733,0.002772344,0.001413959,0.0007763555,0.0006136125],"category_scores_gemma":[0.04697135,0.0007563399,0.005596694,0.00475848,0.0005827253,0.001062944,0.004173472,0.0009395034,0.00009351242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002199986,"about_ca_system_score_gemma":0.003945814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.035508,"about_ca_topic_score_gemma":0.04641454,"domain_scores_codex":[0.972901,0.02130134,0.001732466,0.002193994,0.001207768,0.0006633579],"domain_scores_gemma":[0.9508417,0.02114555,0.01183281,0.008687343,0.005509886,0.001982588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003168421,0.00005857267,0.9697093,0.0002116583,0.008785939,0.0001074635,0.00115761,0.00396356,0.000240751,0.0004209154,0.0009629921,0.01406436],"study_design_scores_gemma":[0.00008454217,0.0005733045,0.9679914,0.0003770828,0.00581131,0.0001583382,0.001701906,0.01848216,0.0002843129,0.002261337,0.002193834,0.00008039529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9378049,0.005956055,0.04942946,0.0009156006,0.0001026897,0.0006840177,0.003916464,0.0003516987,0.0008390221],"genre_scores_gemma":[0.9701447,0.001220339,0.02378455,0.0001580973,0.00002876145,0.0007776555,0.003671583,0.00003926847,0.0001748193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04967384,"threshold_uncertainty_score":0.2627035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05580285225346268,"score_gpt":0.3443146352941747,"score_spread":0.288511783040712,"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."}}