{"id":"W4390079928","doi":"10.1093/geroni/igad104.3049","title":"COMPREHENSIVE MOBILITY FRAMEWORK VERIFICATION USING CANADIAN LONGITUDINAL STUDY ON AGING DATA","year":2023,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Psychosocial; Structural equation modeling; Gerontology; Cognition; Psychology; Quality of life (healthcare); Destinations; Longitudinal study; Demography; Medicine; Geography; Computer science; Sociology; Psychiatry","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":[0.001687843,0.0001112733,0.0001434051,0.0007605204,0.0009994202,0.0001347485,0.0003156471,0.00005820361,0.00002827586],"category_scores_gemma":[0.0006389926,0.0001279001,0.00001181921,0.004081036,0.00008982933,0.0003813543,0.00007542716,0.0002287323,0.00003003927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003497079,"about_ca_system_score_gemma":0.0003149938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5136051,"about_ca_topic_score_gemma":0.5080601,"domain_scores_codex":[0.9982746,0.0001921802,0.0003891085,0.0004264973,0.0003746346,0.0003429677],"domain_scores_gemma":[0.9988513,0.0002243312,0.000141427,0.0004516313,0.0002860847,0.00004524597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002895884,0.00005385033,0.7682354,0.00001146294,0.00001851597,0.00001077137,0.2179876,0.0005469897,0.00002851764,0.01092519,0.0007938701,0.001384912],"study_design_scores_gemma":[0.0001314824,0.000009276351,0.9615865,0.00006425951,0.000006729292,1.637731e-7,0.02955452,0.001726301,0.000007374869,0.003134241,0.003635637,0.0001435066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954112,0.00002786664,0.001457275,0.001487749,0.0005614426,0.000425052,0.00001355903,0.0001215328,0.0004943755],"genre_scores_gemma":[0.9989287,0.0000164147,0.0003854348,0.000196175,0.0003210922,0.00001826614,0.00007340947,0.00001098199,0.00004958358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.193351,"threshold_uncertainty_score":0.7686833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2582655441468449,"score_gpt":0.4372284667579118,"score_spread":0.1789629226110669,"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."}}