{"id":"W2155022813","doi":"10.1002/atr.186","title":"Visco‐elastic traffic flow model","year":2011,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lomonosov Moscow State University; National Science Foundation","keywords":"Flow (mathematics); Traffic flow (computer networking); Mechanics; Computer science; Physics; Computer security","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":[0.0000558266,0.00009065717,0.0001416635,0.00009334162,0.00001797787,0.000004791825,0.00007392996,0.00002686404,0.00002657425],"category_scores_gemma":[0.000002458185,0.00008254519,0.00008607935,0.00007130642,0.000008451064,0.0002919363,4.052794e-7,0.0001067172,0.000004105933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002315961,"about_ca_system_score_gemma":0.00001108945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.656984e-7,"about_ca_topic_score_gemma":0.0000263861,"domain_scores_codex":[0.9993631,0.000003403163,0.0003288451,0.00005469708,0.0001346851,0.0001152738],"domain_scores_gemma":[0.9997517,0.000008696485,0.0000721413,0.00005842198,0.00005075488,0.00005821013],"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":[0.00006084892,0.00003043462,0.000005538536,0.00003225668,0.00004039516,0.0000199122,0.001886025,0.953536,0.0009620519,0.0001344613,0.00005547459,0.04323665],"study_design_scores_gemma":[0.004374097,0.0004136909,0.09337085,0.0001744935,0.0003935963,0.00001543353,0.0008335123,0.8959726,0.0007269216,0.001301346,0.001959512,0.0004639173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6882058,0.0003228025,0.3101093,0.00001919379,0.0006125356,0.0000926197,0.000005360809,0.00009594467,0.0005364306],"genre_scores_gemma":[0.9748233,0.0001411842,0.02492918,0.00001280576,0.00004579697,0.000003016577,0.000003509864,0.0000166911,0.00002451767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2866175,"threshold_uncertainty_score":0.3366095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009078928748735716,"score_gpt":0.1925816705986335,"score_spread":0.1835027418498977,"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."}}