{"id":"W2373586634","doi":"","title":"Intelligent Traffic Management System Construction Based on Hierarchical Framework","year":2014,"lang":"en","type":"article","venue":"Journal of Transportation Engineering and Information","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"La Cité Collégiale","funders":"","keywords":"Advanced Traffic Management System; Layer (electronics); Intelligent transportation system; Computer science; Distributed computing; Function (biology); Hierarchical control system; Intelligent decision support system; Management system; Systems engineering; Engineering; Transport engineering; Artificial intelligence; Control (management)","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":[0.0007501063,0.0006127412,0.0004877211,0.0008314181,0.001072674,0.001363136,0.001276445,0.0006332687,0.002166258],"category_scores_gemma":[0.000958336,0.0003461409,0.001076176,0.0007578178,0.0008204104,0.001845543,0.001517456,0.0007499229,0.0003798539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479877,"about_ca_system_score_gemma":0.003328114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01627539,"about_ca_topic_score_gemma":0.0108853,"domain_scores_codex":[0.9990356,0.0002023656,0.00007374804,0.0002080692,0.0003357129,0.0001445622],"domain_scores_gemma":[0.9997049,0.00005003538,0.00002723861,0.00003683296,0.0001436925,0.00003717842],"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":[0.00007770152,0.0001109657,0.00284042,0.0003078014,0.00008275512,0.0003996208,0.0007265848,0.6115993,0.02158816,0.2321699,0.004653032,0.1254438],"study_design_scores_gemma":[0.00002375747,0.00006100757,0.0004739036,0.00002688533,0.00004436973,0.00008590919,0.0001087371,0.9509037,0.003029355,0.03606327,0.009149208,0.00002987138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01071777,0.0001841817,0.9826868,0.0001299521,0.00002044401,0.0001102159,0.00004514859,0.00041716,0.005688355],"genre_scores_gemma":[0.4638745,0.0005686486,0.5289951,0.0000969146,0.00004051043,0.0005091525,0.0004222184,0.00009200488,0.00540091],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01627539,"threshold_uncertainty_score":0.03236133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004426409036184781,"score_gpt":0.1898657014800206,"score_spread":0.1854392924438358,"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."}}