{"id":"W4412475304","doi":"10.1016/j.jth.2025.102118","title":"Unraveling the interplay between individual characteristics and perceived accessibility","year":2025,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Psychology; Cognitive psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002489351,0.0002073537,0.0004059915,0.0007747144,0.0004641812,0.002425432,0.0004128694,0.0005853298,0.002151405],"category_scores_gemma":[0.01295621,0.0002342059,0.000440339,0.0008929537,0.0006913547,0.002033837,0.001066791,0.0008999432,0.0001399301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002740428,"about_ca_system_score_gemma":0.0006083301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005432129,"about_ca_topic_score_gemma":0.01164481,"domain_scores_codex":[0.9985902,0.0007876812,0.00008629426,0.0002109309,0.0001831469,0.0001416991],"domain_scores_gemma":[0.9878246,0.008019965,0.001864905,0.0007556654,0.000756902,0.0007779319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006416533,0.000106012,0.9805186,0.00004551553,0.0002104478,0.00005738101,0.004063121,0.0002228471,0.0003561243,0.0008510706,0.0001164163,0.01338834],"study_design_scores_gemma":[0.000003028007,0.00009896261,0.9897528,0.00003377769,0.00008492317,0.00009154212,0.0063338,0.001257971,0.0001083987,0.001705425,0.0005102437,0.00001906026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970146,0.0002676411,0.0008519735,0.0003160918,0.00001165134,0.000004945948,0.00007430772,0.000003287157,0.001455434],"genre_scores_gemma":[0.9995561,0.00006285852,0.0002481926,0.00001947974,0.000005076411,0.000002401739,0.00002398936,0.000002005163,0.00007982115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005432129,"threshold_uncertainty_score":0.01316512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03541673368115091,"score_gpt":0.3804653322507482,"score_spread":0.3450485985695974,"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."}}