{"id":"W2344250596","doi":"","title":"A micro-macro traffic model based on Mean-Field Games","year":2015,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Traffic control and management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Macro; Traffic flow (computer networking); Flexibility (engineering); Microscopic traffic flow model; Statistical physics; Micro level; Function (biology); Field (mathematics); Computer science; Mathematics; Physics; Engineering; Traffic generation model; Statistics","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":[0.0006543588,0.0005701067,0.001046028,0.0008698604,0.0008336187,0.001508185,0.001477552,0.001486285,0.003232919],"category_scores_gemma":[0.001589451,0.0003438059,0.0007471716,0.000503379,0.001754044,0.001643581,0.0009730519,0.001008595,0.000261619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002544536,"about_ca_system_score_gemma":0.001419949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01847385,"about_ca_topic_score_gemma":0.008572868,"domain_scores_codex":[0.9996607,0.0001426354,0.000009249206,0.00005679036,0.0000546932,0.00007585625],"domain_scores_gemma":[0.9994647,0.000223489,0.0000732089,0.00002427934,0.00008975099,0.0001246968],"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":[0.00003825594,0.00004817398,0.0009113402,0.00002433375,0.00002219056,0.0001180457,0.00007199751,0.787069,0.0007920974,0.2083108,0.001163224,0.001430523],"study_design_scores_gemma":[0.000006605149,0.000008781994,0.00009901448,0.00000280512,0.000003344844,0.000009086456,0.00001126043,0.9847115,0.00002349287,0.01492842,0.0001907721,0.000004899794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3954134,0.0006790807,0.5478005,0.002879524,0.0002281288,0.0001792662,0.0005542506,0.0002282994,0.05203759],"genre_scores_gemma":[0.9829155,0.0002085833,0.008875756,0.0001238426,0.00004661598,0.0001118876,0.00006061494,0.0000181702,0.007638992],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01847385,"threshold_uncertainty_score":0.03673261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009966274975487403,"score_gpt":0.2043404491114576,"score_spread":0.1943741741359702,"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."}}