{"id":"W2085148990","doi":"10.1080/04419057.2008.9674538","title":"Leisure and Ageing Well","year":2008,"lang":"en","type":"article","venue":"World Leisure Journal","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Institute for Aging; University of Waterloo","funders":"","keywords":"Population ageing; Ageing; Population; Gerontology; Active ageing; Healthy ageing; Economic growth; Sociology; Older people; Medicine; Economics","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":[0.0009212151,0.0001939781,0.0003366192,0.001048707,0.001605215,0.003565708,0.0003699416,0.001043439,0.0145207],"category_scores_gemma":[0.002074316,0.00006563522,0.000296229,0.001099515,0.003260137,0.002287064,0.002570407,0.001319911,0.0007341043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001422679,"about_ca_system_score_gemma":0.001566704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005556474,"about_ca_topic_score_gemma":0.008869141,"domain_scores_codex":[0.9991105,0.0004946844,0.00004113547,0.00007078188,0.0000985225,0.0001843839],"domain_scores_gemma":[0.9979727,0.0006021237,0.0003614819,0.00008179948,0.0002128559,0.0007691311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001511856,0.000630935,0.08876473,0.001599885,0.0001048835,0.0008505682,0.0610985,0.0006060405,0.0007797047,0.5688338,0.04393217,0.2326477],"study_design_scores_gemma":[0.0000256542,0.0003135435,0.1823318,0.00288477,0.00007396556,0.001175786,0.08125621,0.0004495905,0.0003880353,0.1896517,0.5413569,0.0000922096],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3351459,0.1175824,0.003491418,0.102022,0.001779237,0.00009694143,0.0006645668,0.00005821616,0.4391593],"genre_scores_gemma":[0.958694,0.02484738,0.0007711035,0.002518998,0.0003454609,0.0000328331,0.0001374151,0.000006815134,0.01264591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0145207,"threshold_uncertainty_score":0.04857659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03445436907308307,"score_gpt":0.3200892336379231,"score_spread":0.2856348645648401,"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."}}