{"id":"W2372236441","doi":"","title":"Influencing Factors of City Bus Service Quality Based on SERVPERF Model","year":2013,"lang":"en","type":"article","venue":"Journal of Transportation Systems Engineering and Information Technology","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Reliability (semiconductor); Dimension (graph theory); Service quality; Service (business); Empathy; Perception; Scale (ratio); Quality (philosophy); Business; Transport engineering; Computer science; Marketing; Psychology; Engineering; Mathematics; Social psychology; Geography","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":[0.001146186,0.000630402,0.0002696076,0.00171738,0.0004100476,0.001551875,0.0003401964,0.0005189943,0.006237276],"category_scores_gemma":[0.003870656,0.0002191817,0.0008456793,0.001483522,0.0005011021,0.001434419,0.0008799688,0.0007343671,0.0005514422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557597,"about_ca_system_score_gemma":0.001367006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01151747,"about_ca_topic_score_gemma":0.006840716,"domain_scores_codex":[0.9987335,0.0003117366,0.00008040276,0.0001495255,0.0004033564,0.0003215773],"domain_scores_gemma":[0.9977247,0.0007675897,0.0005105435,0.00008094071,0.0005948868,0.0003212252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001724459,0.0003507985,0.8985699,0.0002099604,0.0001744428,0.0007433682,0.00337535,0.02907043,0.002706349,0.01875437,0.002605344,0.04326713],"study_design_scores_gemma":[0.00003362883,0.0005774361,0.7834815,0.0001576495,0.0002368932,0.0007070979,0.008751873,0.1885125,0.00163243,0.008707338,0.007099009,0.0001025993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9594665,0.000212789,0.02120738,0.0008164,0.00002489809,0.000145164,0.0004563656,0.0001513666,0.01751905],"genre_scores_gemma":[0.9978713,0.0000621112,0.001119889,0.00002220216,0.000005237578,0.00003094127,0.0001297688,0.000006084824,0.000752468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01151747,"threshold_uncertainty_score":0.02290088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01362208864210281,"score_gpt":0.2401748140088175,"score_spread":0.2265527253667146,"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."}}