{"id":"W1505511839","doi":"10.1016/j.trf.2014.07.004","title":"The happy commuter: A comparison of commuter satisfaction across modes","year":2014,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Public transport; Mode (computer interface); Perception; Transport engineering; Mode choice; Scale (ratio); Preference; Psychology; Business; Geography; Engineering; Computer science; Mathematics; Statistics","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":[0.0007899462,0.000177,0.000320609,0.0007240429,0.0004653477,0.0008789137,0.0002877108,0.0004118783,0.003457603],"category_scores_gemma":[0.003503554,0.0001685049,0.0005618854,0.0006757839,0.0003167982,0.0005968858,0.0008671725,0.0004845485,0.0003224891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002640313,"about_ca_system_score_gemma":0.0001844077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004254573,"about_ca_topic_score_gemma":0.006989656,"domain_scores_codex":[0.9996231,0.00011468,0.00004267877,0.00005175915,0.00009417978,0.0000736829],"domain_scores_gemma":[0.9978163,0.0005078567,0.0007166574,0.0001036058,0.0003114527,0.0005441289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001362442,0.00021343,0.9853099,0.00004263945,0.0002144585,0.00008026494,0.003182099,0.0001325131,0.001091801,0.0001253621,0.0003749258,0.007870331],"study_design_scores_gemma":[0.000009258679,0.0002396582,0.9966349,0.000003331761,0.00002752953,0.00003392755,0.002619154,0.0001255834,0.00007467617,0.00003210131,0.0001932268,0.000006755563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991593,0.00003044785,0.00006216873,0.00001733558,0.000006241994,0.00000675982,0.0001466844,0.000001965093,0.0005691862],"genre_scores_gemma":[0.9993804,0.00002657335,0.00005927131,0.00001476683,0.000004964596,0.00001053098,0.000173344,0.000002814378,0.0003272354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004254573,"threshold_uncertainty_score":0.01156682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1317181100840424,"score_gpt":0.4973310127559584,"score_spread":0.365612902671916,"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."}}