{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000235145,0.0006456883,0.0004352981,0.001193475,0.0006272795,0.001191796,0.001536185,0.001069979,0.006412583],"category_scores_gemma":[0.0006428928,0.0002652999,0.0008008342,0.0007600243,0.0006341137,0.00128964,0.0005920629,0.0007931787,0.001309653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001183274,"about_ca_system_score_gemma":0.001019627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0116429,"about_ca_topic_score_gemma":0.003857041,"domain_scores_codex":[0.999715,0.00004021804,0.0000133698,0.00007357283,0.00009748703,0.00006037772],"domain_scores_gemma":[0.9997182,0.00005424001,0.00004247234,0.00002750932,0.0001358412,0.00002163952],"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":[0.00002918346,0.00004863634,0.0006487799,0.00002929986,0.000009947484,0.0001134008,0.00005908954,0.8925687,0.002117351,0.0942244,0.001490977,0.008660193],"study_design_scores_gemma":[0.000003316485,0.000007091144,0.00009404992,0.00000245424,0.000002570095,0.00002065319,0.000007433277,0.9928681,0.0001747422,0.005204943,0.001609238,0.000005298657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1123669,0.0004322629,0.7908567,0.0008175262,0.0004347911,0.0002727853,0.001496609,0.0008553804,0.092467],"genre_scores_gemma":[0.8909649,0.0006665134,0.03540283,0.0001905803,0.0001747248,0.0002899243,0.001314576,0.0001010649,0.07089487],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0116429,"threshold_uncertainty_score":0.02315027,"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."}}