{"id":"W2283737658","doi":"10.1093/geront/gnv126","title":"An Empirical Comparison of Different Models of Active Aging in Canada: The International Mobility in Aging Study","year":2015,"lang":"en","type":"article","venue":"The Gerontologist","topic":"Aging and Gerontology Research","field":"Psychology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Institut Universitaire de Gériatrie de Montréal; Université de Montréal","funders":"Canadian Institutes of Health Research; Canadian HIV Trials Network, Canadian Institutes of Health Research","keywords":"Gerontology; Psychology; Active ageing; Confirmatory factor analysis; Index (typography); Successful aging; Sample (material); Mood; Older people; Medicine; Clinical psychology; Computer science; Structural equation modeling","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":[0.01507005,0.001147949,0.001328725,0.003844802,0.009221329,0.006092654,0.004626647,0.001177881,0.003271561],"category_scores_gemma":[0.04200773,0.0006194229,0.002238574,0.00942595,0.002856781,0.002629736,0.004403304,0.002461151,0.0003109424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07673365,"about_ca_system_score_gemma":0.08311311,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9912714,"about_ca_topic_score_gemma":0.9914324,"domain_scores_codex":[0.9954886,0.001247091,0.00038151,0.0005765883,0.001514953,0.0007911896],"domain_scores_gemma":[0.9719232,0.007192296,0.003990202,0.001607764,0.01145588,0.003830612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001227543,0.00020852,0.9768592,0.0001134017,0.0002107154,0.00004593968,0.008554152,0.000464278,0.00001471453,0.002101967,0.002490907,0.008813608],"study_design_scores_gemma":[0.00007813985,0.00009903232,0.9563721,0.000549341,0.0002973842,0.00006247445,0.03096353,0.007026094,0.00003768523,0.001245395,0.003184824,0.00008397673],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885498,0.002038251,0.0004925751,0.001548346,0.00005986337,0.0002929257,0.001631045,0.00001832767,0.005368829],"genre_scores_gemma":[0.9933355,0.001663964,0.0007904129,0.0002287293,0.00001371294,0.0001959312,0.002947581,0.0000154481,0.0008086702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07673365,"threshold_uncertainty_score":0.5567442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2575618694270587,"score_gpt":0.4772540203509776,"score_spread":0.2196921509239189,"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."}}