{"id":"W2980516830","doi":"10.1016/j.scs.2019.101892","title":"A multi-criteria assessment of the passengers’ level of comfort in urban railway rolling stock","year":2019,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Noise Effects and Management","field":"Health Professions","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Train; Transport engineering; TRIPS architecture; Service quality; Sustainable transport; Service (business); Sustainable development; Engineering; Business; Marketing; Sustainability","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002321312,0.0007528734,0.0006347939,0.002345012,0.000756479,0.002113905,0.0006891483,0.0008920272,0.001554862],"category_scores_gemma":[0.002833955,0.0002624394,0.001070479,0.001371768,0.0005340376,0.0007539134,0.001084611,0.0003309683,0.0001039672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00145383,"about_ca_system_score_gemma":0.0007901795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01862288,"about_ca_topic_score_gemma":0.0148713,"domain_scores_codex":[0.9984834,0.0005868507,0.0001538332,0.0001502682,0.0004232417,0.0002024446],"domain_scores_gemma":[0.9983875,0.0007749962,0.0001929065,0.0000462961,0.0004224514,0.0001758665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002543416,0.001154703,0.3739714,0.0005931401,0.001292801,0.001275022,0.002999526,0.5133149,0.02279682,0.003195233,0.001351322,0.07551164],"study_design_scores_gemma":[0.00003358121,0.001842801,0.245643,0.00008744179,0.0002643334,0.0001894604,0.006519497,0.7390043,0.004263729,0.001242858,0.000797382,0.000111607],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877737,0.00007079505,0.01052504,0.00003733954,0.000006979022,0.0000609883,0.000152499,0.00001507785,0.001357736],"genre_scores_gemma":[0.9979337,0.00001270995,0.001697943,0.000003698883,0.000002276127,0.00001733266,0.00009259943,0.000001778339,0.0002379319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01862288,"threshold_uncertainty_score":0.03702897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05931962688375245,"score_gpt":0.3878641002966591,"score_spread":0.3285444734129067,"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."}}