{"id":"W4403350198","doi":"10.1016/j.tbs.2024.100922","title":"Heterogeneity in route choice during peak hours: Implications on travel demand management","year":2024,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Demand management; Business; Transport engineering; Economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002889298,0.0002493471,0.001044897,0.0009922576,0.000790498,0.002804716,0.001358107,0.001394547,0.006612805],"category_scores_gemma":[0.01407037,0.0004633198,0.0009477499,0.001558854,0.001197175,0.001781725,0.0009555893,0.0009225765,0.0003190855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001362603,"about_ca_system_score_gemma":0.0007811144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01686601,"about_ca_topic_score_gemma":0.01977341,"domain_scores_codex":[0.9984067,0.0006619489,0.00007774219,0.0003747245,0.0001537684,0.000325148],"domain_scores_gemma":[0.9873822,0.008815241,0.001371994,0.001067752,0.0006133543,0.0007494551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001722051,0.0009725497,0.7046646,0.0002594612,0.001128521,0.001001515,0.002490399,0.1644232,0.005761257,0.076371,0.004105001,0.03710029],"study_design_scores_gemma":[0.0001362121,0.0003152239,0.6027406,0.00006408378,0.0002731485,0.0006592074,0.00789578,0.2563309,0.0008058589,0.1277184,0.002928953,0.0001316403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788916,0.0002716118,0.01567209,0.001009847,0.00002719364,0.0000407984,0.0005820862,0.000033602,0.003471239],"genre_scores_gemma":[0.9984621,0.00006030452,0.0006547308,0.00004091864,0.00001714506,0.000009808223,0.000116675,0.0000087758,0.0006295858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01686601,"threshold_uncertainty_score":0.03353566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668054870868127,"score_gpt":0.3171681510104304,"score_spread":0.2904876023017492,"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."}}