{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007712128,0.00006222418,0.0002993742,0.0002097857,0.00005541765,0.00001268655,0.00002356412,0.0000242888,0.00002968081],"category_scores_gemma":[0.00003933368,0.00004910744,0.0000530841,0.00007037926,0.00005937782,0.0001382146,0.000009510641,0.0001955401,2.459078e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001367888,"about_ca_system_score_gemma":0.0009335762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002975535,"about_ca_topic_score_gemma":0.000869216,"domain_scores_codex":[0.998998,0.00005834636,0.0004236581,0.0001072699,0.0002664176,0.0001462617],"domain_scores_gemma":[0.9990898,0.00008012217,0.0003912422,0.00005756093,0.0001082041,0.0002730787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005866637,0.00003451651,0.9856567,0.0003463309,0.00004114839,0.000008094581,0.008776013,0.000007919019,0.0000553532,0.00003112036,0.002398903,0.002585227],"study_design_scores_gemma":[0.00104868,0.0005974855,0.9901999,0.0009214761,0.0000068373,0.0001903015,0.006574161,0.00007255604,0.00001354733,0.00001869587,0.0003201098,0.00003619889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713343,0.003232817,0.00004918213,0.02484342,0.0001387949,0.0001972713,0.00001567155,0.000002575333,0.0001859863],"genre_scores_gemma":[0.9951651,0.0008686329,0.001819519,0.001478052,0.00006645395,8.044274e-7,0.000001770381,0.000006007605,0.0005936435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02383083,"threshold_uncertainty_score":0.4498138,"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."}}