{"id":"W4385968490","doi":"10.1007/s11524-023-00762-7","title":"Key Age-Friendly Components of Municipalities that Foster Social Participation of Aging Canadians: Results from the Canadian Longitudinal Study on Aging","year":2023,"lang":"en","type":"article","venue":"Journal of Urban Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; Impact; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Centre Hospitalier Universitaire de Sherbrooke; McMaster University; Université de Sherbrooke; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Government of Canada","keywords":"Recreation; Social engagement; Census; Workforce; Baseline (sea); Survey data collection; Gerontology; Multilevel model; Psychology; Business; Environmental health; Economic growth; Political science; Medicine; Population; Economics","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":[0.00229426,0.0004376983,0.0006400762,0.001342331,0.0095034,0.002873923,0.003039805,0.001371511,0.003169385],"category_scores_gemma":[0.01171581,0.0004230048,0.001152445,0.002853988,0.001657319,0.001464093,0.005288215,0.001791818,0.000196912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02920436,"about_ca_system_score_gemma":0.09310833,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9528874,"about_ca_topic_score_gemma":0.9888675,"domain_scores_codex":[0.9961903,0.0007669489,0.0001701209,0.0003075612,0.0008546881,0.001710338],"domain_scores_gemma":[0.9917253,0.0004300428,0.001558153,0.0003343362,0.002073777,0.0038784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000213547,0.0008989878,0.9304397,0.0001872862,0.0002170479,0.0001607438,0.01832027,0.0002977776,0.0002394671,0.002293614,0.00815471,0.03857689],"study_design_scores_gemma":[0.00001927325,0.00005416013,0.9725796,0.0001278512,0.0000947817,0.00002193179,0.02198001,0.0001700147,0.00006219494,0.0003626239,0.004504055,0.00002356101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820884,0.0007042897,0.0002874984,0.00413511,0.00007721249,0.0003267087,0.002044616,0.0000293645,0.01030673],"genre_scores_gemma":[0.9964623,0.0003838726,0.0008346259,0.0003426013,0.00001974984,0.0001096644,0.0008452272,0.000009562701,0.0009924173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04711258,"threshold_uncertainty_score":0.2118934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2563131808691689,"score_gpt":0.4239892736021748,"score_spread":0.1676760927330059,"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."}}