{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001627471,0.0001265407,0.0001538844,0.0003102938,0.00143513,0.0002044781,0.0001992028,0.0002123402,0.000135826],"category_scores_gemma":[0.0003212278,0.0001375776,0.00007160212,0.001626797,0.000338994,0.0007498091,0.00000169358,0.0003939384,0.00004196443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001153764,"about_ca_system_score_gemma":0.0006085258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003913351,"about_ca_topic_score_gemma":0.08635278,"domain_scores_codex":[0.9974656,0.0002074892,0.0003609702,0.0003794311,0.0009312733,0.0006552121],"domain_scores_gemma":[0.9983178,0.0003335858,0.00005840911,0.0001501483,0.000960257,0.0001797445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001583828,0.0001745368,0.7484544,0.000219702,0.00007010697,0.00001166827,0.05871189,0.005720582,0.001038173,0.1565659,0.00395436,0.02492024],"study_design_scores_gemma":[0.0008628675,0.00002765118,0.9474856,0.00006395477,0.00001462308,6.27251e-8,0.01835191,0.001014912,0.0004325174,0.001585406,0.02996773,0.0001927662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9332758,0.000195183,0.04760315,0.008387357,0.0003014714,0.001169721,0.0001411423,0.000889841,0.008036295],"genre_scores_gemma":[0.9959983,0.0002839672,0.001275311,0.0001036895,0.00007997498,0.0001974576,0.0002245089,0.00002132445,0.001815506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1990312,"threshold_uncertainty_score":0.9998649,"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."}}