{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02383006,0.001027714,0.001102027,0.003238197,0.002827234,0.00180497,0.002863792,0.0007192005,0.003538313],"category_scores_gemma":[0.04632313,0.0004943009,0.002852026,0.006107042,0.0007019851,0.0009209219,0.002069807,0.001369029,0.0004807264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01295915,"about_ca_system_score_gemma":0.03108191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9256962,"about_ca_topic_score_gemma":0.9008909,"domain_scores_codex":[0.9917019,0.003093412,0.0007115132,0.001965568,0.001752732,0.000774773],"domain_scores_gemma":[0.9793032,0.006798703,0.001468184,0.002264602,0.009617066,0.0005481972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001983025,0.0001524453,0.9064469,0.0002997801,0.001005443,0.0002046305,0.001557112,0.02468746,0.000201024,0.01118729,0.01372423,0.04033539],"study_design_scores_gemma":[0.0001581203,0.0001564793,0.7438592,0.0004154315,0.0005970408,0.0001288572,0.002844884,0.2290618,0.000342108,0.006019291,0.01629885,0.00011781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8429909,0.001184856,0.07273027,0.001703924,0.0002004201,0.00222602,0.07221965,0.0008802128,0.005863909],"genre_scores_gemma":[0.92814,0.0002040102,0.0399694,0.0001117157,0.00001425933,0.001224948,0.02950188,0.00005971669,0.0007741742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07430381,"threshold_uncertainty_score":0.1494827,"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."}}