{"id":"W3115444268","doi":"10.1109/itsc45102.2020.9294316","title":"Distributed macroscopic traffic simulation with Open Traffic Models","year":2020,"lang":"en","type":"article","venue":"","topic":"Traffic control and management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Energy Efficiency; Office of Energy Efficiency and Renewable Energy; Office of Science; National Renewable Energy Laboratory; U.S. Department of Energy","keywords":"Computer science; Message Passing Interface; Traffic simulation; Interface (matter); Open source; Distributed computing; Software; Traffic generation model; Grid; Network traffic simulation; Process (computing); Network simulation; Message passing; Computer network; Parallel computing; Network traffic control; Operating system; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003193375,0.0001401528,0.0001674997,0.00001958943,0.00003879915,0.0001181559,0.0002315886,0.00003243504,0.0001076418],"category_scores_gemma":[0.000002569662,0.0001143258,0.00002644122,0.0001823058,0.00001053095,0.0002492967,0.00004332281,0.00007350521,0.00003855241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002753427,"about_ca_system_score_gemma":0.000009367614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003356973,"about_ca_topic_score_gemma":0.00005284595,"domain_scores_codex":[0.999345,0.000008063376,0.0001492742,0.0001863233,0.0001139416,0.0001973827],"domain_scores_gemma":[0.999712,0.00001917219,0.00001336748,0.0001302888,0.00001631162,0.0001088439],"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":[0.00002904383,0.00001605407,0.000001034102,0.00003256154,0.00004319813,0.000005273393,0.0001952142,0.9769295,0.00002292686,0.000348721,0.001136729,0.02123976],"study_design_scores_gemma":[0.001145225,0.00007055183,0.0001498468,0.000008816732,0.00002603776,3.098242e-7,0.00007934596,0.9908174,0.00001253049,0.00000892447,0.007516879,0.0001641578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2629975,0.000108933,0.7243164,0.001207955,0.00008796289,0.001079381,0.00003704381,0.001946079,0.008218673],"genre_scores_gemma":[0.9988354,0.000006550318,0.0006796268,0.0002352437,0.00003682484,0.00003082326,0.00004971556,0.00002576977,0.0001000686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7358378,"threshold_uncertainty_score":0.4662071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02148514829133834,"score_gpt":0.22545401786169,"score_spread":0.2039688695703517,"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."}}