{"id":"W3107532707","doi":"10.1155/2020/6678158","title":"Multimode Traffic Travel Behavior Characteristics Analysis and Congestion Governance Research","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Traffic congestion; Transport engineering; Demand management; Public transport; Travel behavior; Sustainable development; Business; Sustainable transport; Mode choice; Environmental economics; Economics; Engineering; Sustainability","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005304604,0.00007930068,0.0002284376,0.0001349239,0.0002240466,0.00004071489,0.00009241002,0.00007932314,0.0001172998],"category_scores_gemma":[0.0001397423,0.00008204272,0.00008468438,0.0008243573,0.0001163966,0.0005123444,4.915804e-7,0.0002527654,7.981655e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004009908,"about_ca_system_score_gemma":0.0001097784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007772589,"about_ca_topic_score_gemma":0.001096121,"domain_scores_codex":[0.9985287,0.000108171,0.0004713372,0.0001454935,0.0005877634,0.0001585168],"domain_scores_gemma":[0.9987039,0.0001201862,0.000385346,0.00004284645,0.0005654598,0.0001822864],"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":[0.001112798,0.0002941811,0.1633881,0.00009132583,0.000295188,0.0001561902,0.1887712,0.5315378,0.004434378,0.003452733,0.0000778804,0.1063882],"study_design_scores_gemma":[0.0005708243,0.0001208046,0.9929582,0.00002473339,0.000345793,5.230237e-7,0.004481306,0.0006278565,0.00007907093,0.00001633984,0.000683951,0.00009063129],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843819,0.0001477145,0.01378266,0.001308222,0.0001206547,0.0001529032,0.00005501501,0.00001932584,0.00003166821],"genre_scores_gemma":[0.9933481,0.001090625,0.005292139,0.00004858008,0.0001062585,0.000004755888,0.00007704992,0.000008803439,0.00002364924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.82957,"threshold_uncertainty_score":0.3345605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04011197853442226,"score_gpt":0.3488475101046216,"score_spread":0.3087355315701993,"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."}}