{"id":"W4380363978","doi":"10.32866/001c.77765","title":"The Dimensions of Loyalty in Public Transit among Older Adults: A Comparative Analysis across Three Canadian Regions","year":2023,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Loyalty; Dimension (graph theory); Sample (material); Marketing; Transit (satellite); Reliability (semiconductor); Variable (mathematics); Public transport; Psychology; Advertising; Social psychology; Business; Sociology; Transport engineering; Engineering; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008329239,0.00008555919,0.0002240085,0.000221274,0.001057484,0.00008168469,0.000363799,0.00009027772,0.00008354549],"category_scores_gemma":[0.00007088159,0.00005976369,0.0001528814,0.004153095,0.0005977222,0.0002279125,0.00001417815,0.0001629717,0.00001321658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00010645,"about_ca_system_score_gemma":0.0002427781,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5250707,"about_ca_topic_score_gemma":0.9973052,"domain_scores_codex":[0.9986402,0.0000707858,0.0002615307,0.0002321361,0.0002613764,0.0005339245],"domain_scores_gemma":[0.9992289,0.0001965044,0.00006639974,0.0002101045,0.000102443,0.0001956534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004565797,0.00001736037,0.939344,0.000003142478,0.00005716166,0.000004084042,0.05860583,0.00001394077,0.000001594901,0.001264943,0.0005644534,0.0001188545],"study_design_scores_gemma":[0.0001483598,0.000004962307,0.981415,0.00002213801,0.00003588687,1.233238e-8,0.01573584,0.0001980992,0.000009330223,0.0004808296,0.001870287,0.00007925073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951071,0.0000373102,0.00002282764,0.002788634,0.00006721535,0.0002610544,0.00007866863,0.00003960892,0.001597586],"genre_scores_gemma":[0.9994404,0.00001935273,0.00000606962,0.00002747399,0.00001710436,0.00002455041,0.0000363842,0.000003863363,0.0004247886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4722345,"threshold_uncertainty_score":0.813342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04373171365021213,"score_gpt":0.3220085928893693,"score_spread":0.2782768792391572,"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."}}