{"id":"W2972091817","doi":"10.3390/sym11091093","title":"Kinetic Model for Vehicular Traffic with Continuum Velocity and Mean Field Interactions","year":2019,"lang":"en","type":"article","venue":"Symmetry","topic":"Traffic control and management","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España; Universidad de Granada; Consejería de Economía, Innovación, Ciencia y Empleo, Junta de Andalucía","keywords":"Mean field theory; Kinetic energy; Acceleration; Kinetic theory; Mathematical model; Mathematical theory; Point (geometry); Term (time)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003990144,0.00008531824,0.0001125981,0.00004719437,0.0000205088,0.0000202027,0.00004657542,0.00002739617,0.00001305536],"category_scores_gemma":[0.000004542533,0.00007347762,0.00003044048,0.00004759993,0.000006548231,0.00005203273,0.00001132957,0.00007622528,0.00000831305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001400149,"about_ca_system_score_gemma":0.000003694323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004196071,"about_ca_topic_score_gemma":0.0001512857,"domain_scores_codex":[0.9996175,0.000003180892,0.00007963736,0.0001163076,0.00005133553,0.0001319929],"domain_scores_gemma":[0.9997749,0.00004755498,0.00001086669,0.0001169207,0.00001484663,0.00003496025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001066776,0.00007108547,0.0002807867,0.0005287084,0.0003705962,0.00000445246,0.0009263902,0.8199545,0.00180954,0.003841163,0.01038538,0.1617208],"study_design_scores_gemma":[0.0007603673,0.00006228453,0.0009939692,0.00002520702,0.0000414648,0.000002071203,0.00008784595,0.9905955,0.0001191635,0.0000558705,0.007133589,0.0001226945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9389242,0.0001744184,0.05687254,0.0002090892,0.0002382303,0.0003835253,0.000005469409,0.0001956244,0.002996887],"genre_scores_gemma":[0.9974151,0.000008703239,0.001470033,0.00009218099,0.00003268061,0.00003128291,0.00000367347,0.00001533366,0.000931004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.170641,"threshold_uncertainty_score":0.299633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005729333389424624,"score_gpt":0.1951630286210013,"score_spread":0.1894336952315767,"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."}}