{"id":"W3186552409","doi":"10.82308/36602","title":"Urban public transportation systems: understanding the impacts of service improvement strategies on service reliability and passenger's perception","year":2015,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); Service (business); Public transport; Perception; Business; Transport engineering; Public service; Computer science; Marketing; Public relations; Engineering; Psychology; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001517043,0.0003391276,0.0002447578,0.0009465209,0.000634829,0.002819253,0.0005276255,0.0008265608,0.00425913],"category_scores_gemma":[0.006676388,0.0002474102,0.0004137848,0.001332595,0.001091172,0.00369298,0.001229767,0.0008816011,0.0002782588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003328753,"about_ca_system_score_gemma":0.002483364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05780298,"about_ca_topic_score_gemma":0.05382586,"domain_scores_codex":[0.9988936,0.0006143562,0.00003267251,0.00009844935,0.0001478715,0.0002131808],"domain_scores_gemma":[0.9960529,0.001995472,0.0007323669,0.0001367707,0.0007107176,0.0003717192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002906624,0.0007254786,0.7973348,0.0005627083,0.0002709122,0.0002955826,0.04509761,0.0283637,0.001321059,0.04621876,0.003329202,0.07618958],"study_design_scores_gemma":[0.0000197119,0.0004606634,0.8166757,0.0003025849,0.0001248135,0.00006416257,0.116458,0.03412451,0.0004467949,0.0196203,0.01164626,0.0000565385],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793686,0.0006537562,0.002574883,0.003963031,0.00002122514,0.00002647748,0.000167987,0.00001330832,0.01321069],"genre_scores_gemma":[0.9991071,0.0002936116,0.0001992025,0.00004422399,0.000006598225,0.00000803225,0.00003132851,0.00000226061,0.000307628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.942197,"threshold_uncertainty_score":0.1149331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05351924894292266,"score_gpt":0.2716981773789192,"score_spread":0.2181789284359966,"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."}}