{"id":"W2910975069","doi":"10.1177/0898264318822228","title":"Flourishing After a Stroke: A Nationally Representative Portrait of Resilience and Mental Health Among Older Canadians","year":2019,"lang":"en","type":"article","venue":"Journal of Aging and Health","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mental health; Odds ratio; Medicine; Stroke (engine); Anxiety; CIDI; Confidence interval; Depression (economics); Psychiatry; Gerontology; Demography; National Comorbidity Survey; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006954776,0.000210716,0.0002661577,0.001854976,0.002658544,0.0008301471,0.0005669268,0.0003409988,0.001037776],"category_scores_gemma":[0.001350085,0.0001589028,0.0004950244,0.002779929,0.0004382348,0.0004056664,0.0007620949,0.0004775515,0.0001041037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005668417,"about_ca_system_score_gemma":0.00946535,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9754596,"about_ca_topic_score_gemma":0.9858398,"domain_scores_codex":[0.9995554,0.0000308628,0.00002315658,0.00006282437,0.0001575233,0.0001702832],"domain_scores_gemma":[0.9992862,0.00003137524,0.0001393509,0.00002869396,0.0003456997,0.000168646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001727122,0.00001980059,0.9904784,0.00002568491,0.00004001573,0.00005199129,0.002095105,0.00003988208,0.0001036835,0.00008587224,0.001117945,0.005924436],"study_design_scores_gemma":[9.118766e-7,0.000006036712,0.9975383,0.0000174013,0.000007252031,0.00002778965,0.001771047,0.00003954929,0.000007110204,0.0000114261,0.0005691066,0.000004076044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934881,0.0006400968,0.00007965606,0.0006190934,0.00001506298,0.0000364138,0.002370131,0.0000053712,0.002746109],"genre_scores_gemma":[0.9975204,0.0006224017,0.0001204759,0.0001498624,0.000009074485,0.00001495271,0.001252787,0.000001993305,0.0003080771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02454042,"threshold_uncertainty_score":0.04936981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009708354764909643,"score_gpt":0.3174192400471926,"score_spread":0.3077108852822829,"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."}}