{"id":"W4406226585","doi":"10.1016/j.trpro.2024.12.145","title":"Passenger Satisfaction across Multiple Public Transit Modes","year":2025,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Philippine-American Educational Foundation","keywords":"Public transport; Transport engineering; Transit (satellite); Business; Computer science; Engineering","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":[0.000815833,0.0002926833,0.0003256851,0.0006823604,0.000341845,0.0007408363,0.0002175876,0.0002389473,0.003128389],"category_scores_gemma":[0.002035844,0.000135235,0.0005122377,0.001477621,0.0002176038,0.0004715371,0.0005910536,0.0002628609,0.0002745882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005768495,"about_ca_system_score_gemma":0.0003971131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01016156,"about_ca_topic_score_gemma":0.01227118,"domain_scores_codex":[0.9993261,0.000183585,0.00004366847,0.0001077909,0.0002073406,0.0001314968],"domain_scores_gemma":[0.9988135,0.000317836,0.0003168428,0.00007282179,0.0003396128,0.0001394199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004855315,0.00009881637,0.9771425,0.00004397006,0.0000872227,0.0001321236,0.0008188119,0.002665664,0.001197137,0.0001298256,0.0003658967,0.01683257],"study_design_scores_gemma":[0.00000602608,0.0003762602,0.9923713,0.000007520239,0.00004223425,0.0001279573,0.002332519,0.003738525,0.0004346706,0.00006457741,0.0004875318,0.00001091252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99893,0.00001276398,0.000219648,0.00001403668,0.000001680695,0.000005564632,0.0002080321,0.000005586624,0.000602703],"genre_scores_gemma":[0.9995159,0.000009622048,0.00005700568,0.000002805546,8.389607e-7,0.000004108536,0.0002111177,0.000001482755,0.0001971914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01016156,"threshold_uncertainty_score":0.02020484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09720589831529805,"score_gpt":0.4354391435083239,"score_spread":0.3382332451930259,"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."}}