{"id":"W4403491679","doi":"10.1017/s0714980824000254","title":"Characterizing Older Adults’ Travel Behaviour and Unmet Needs: Findings from the Canadian Longitudinal Study on Aging (CLSA)","year":2024,"lang":"en","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of British Columbia; British Columbia Institute of Technology; Simon Fraser University","funders":"Canadian Institutes of Health Research; Government of Canada","keywords":"Gerontology; Longitudinal study; Psychology; Demography; Medicine; Sociology; Pathology","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":[0.003712976,0.0003316651,0.0004985295,0.002913408,0.002461571,0.001582418,0.001137336,0.0005302967,0.0009086901],"category_scores_gemma":[0.01008961,0.0002662315,0.001049172,0.006676371,0.0004812612,0.0008273398,0.001679849,0.0009917619,0.0001455684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01000762,"about_ca_system_score_gemma":0.02072748,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9804982,"about_ca_topic_score_gemma":0.9899519,"domain_scores_codex":[0.9980667,0.0002366352,0.0002188965,0.0001655481,0.0009201861,0.0003920468],"domain_scores_gemma":[0.9939593,0.0004982167,0.0009308872,0.0002048264,0.003408809,0.0009979564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004461747,0.00004384932,0.9825628,0.0001554772,0.0001211672,0.00003277722,0.003194051,0.00007137947,0.0000374895,0.0001173556,0.002211911,0.01140725],"study_design_scores_gemma":[0.000002522662,0.00001337916,0.9965384,0.00007521526,0.00002743725,0.00001786872,0.002161121,0.0000731584,0.000009074427,0.00002791292,0.001044131,0.0000097459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774721,0.003887423,0.0003357957,0.00137169,0.00004529093,0.0001927106,0.01082888,0.00001360061,0.005852364],"genre_scores_gemma":[0.9903172,0.002695001,0.0005565149,0.0004524238,0.00001903597,0.0001074477,0.005206899,0.000008345236,0.0006370096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01950181,"threshold_uncertainty_score":0.07261068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02664347877652432,"score_gpt":0.2677914056654531,"score_spread":0.2411479268889288,"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."}}