{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006716573,0.0009189384,0.0009859913,0.001363464,0.0007632021,0.001737512,0.002450276,0.001712139,0.003474389],"category_scores_gemma":[0.001315419,0.000368626,0.001014561,0.0008190695,0.001599023,0.002376379,0.001326799,0.00129318,0.0007507116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529332,"about_ca_system_score_gemma":0.001263334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005684646,"about_ca_topic_score_gemma":0.002475543,"domain_scores_codex":[0.9994333,0.0001468095,0.0000265412,0.00009045863,0.0002019369,0.0001009101],"domain_scores_gemma":[0.9994115,0.0001941266,0.0001451437,0.0000395945,0.000125652,0.00008401004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002746036,0.00005061689,0.0004850432,0.00003205846,0.00001798017,0.000185708,0.0000784064,0.3071287,0.001214347,0.6872281,0.00122398,0.002327475],"study_design_scores_gemma":[0.00001157253,0.00001539531,0.0001083558,0.000004609806,0.000005634592,0.00005034174,0.00001982873,0.9323035,0.00009056304,0.06606912,0.001308551,0.0000125318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04924049,0.0006422449,0.9197003,0.001064506,0.0002738803,0.00007434609,0.0003872691,0.0001923316,0.02842467],"genre_scores_gemma":[0.905683,0.0009208221,0.0408271,0.0003407255,0.0003856895,0.0003072852,0.0003474609,0.00009480184,0.05109309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005684646,"threshold_uncertainty_score":0.01162297,"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."}}