{"id":"W2063184644","doi":"10.1080/03081060802334995","title":"Analysis of Characteristics of the Dynamic Flow-Density Relation and its Application to Traffic Flow Models","year":2008,"lang":"en","type":"article","venue":"Transportation Planning and Technology","topic":"Traffic control and management","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Relation (database); Traffic flow (computer networking); Flow (mathematics); Microscopic traffic flow model; Computer science; Three-phase traffic theory; Traffic generation model; Simulation; Mechanics; Data mining; Engineering; Transport engineering; Traffic congestion reconstruction with Kerner's three-phase theory; Traffic congestion; Real-time computing; Physics","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":[0.001123315,0.0003252649,0.0003715733,0.001280215,0.00031388,0.0008868306,0.0004814574,0.0005175726,0.0007773067],"category_scores_gemma":[0.005761699,0.0002056312,0.0003576037,0.0008699695,0.0006193934,0.001032436,0.0005226142,0.0005810745,0.00008313177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008559916,"about_ca_system_score_gemma":0.0004384372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006974173,"about_ca_topic_score_gemma":0.002223194,"domain_scores_codex":[0.9995264,0.0001460505,0.0000196246,0.0000972497,0.0001585378,0.00005206583],"domain_scores_gemma":[0.9977788,0.001479319,0.0002410926,0.000188551,0.0002609459,0.00005128489],"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":[0.00005489996,0.00007354804,0.007714149,0.00003537142,0.00002193243,0.0001136841,0.0001569826,0.9159945,0.005075113,0.04401755,0.0002959388,0.02644625],"study_design_scores_gemma":[5.448043e-7,0.000005945103,0.0005223206,0.000001546617,0.000001350666,0.00001168907,0.000006233641,0.9970719,0.0003164384,0.001984471,0.00007476259,0.000002816999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.469588,0.0001938546,0.5246091,0.0001556032,0.00001403608,0.00005210494,0.0001061138,0.0003018847,0.004979298],"genre_scores_gemma":[0.992167,0.00003387216,0.007493483,0.000004212683,0.000003801305,0.00001591007,0.00004837764,0.000008286144,0.0002251337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006974173,"threshold_uncertainty_score":0.01386714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00573569939270616,"score_gpt":0.1869191892492623,"score_spread":0.1811834898565561,"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."}}