{"id":"W2117486515","doi":"10.1145/2069000.2069014","title":"Modeling and simulation of vehicular networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Vehicular ad hoc network; TRACE (psycholinguistics); Network simulation; Field (mathematics); Network packet; Network traffic simulation; Network topology; Computer network; Wireless network; Traffic generation model; Quality of service; Wireless ad hoc network; Wireless; Distributed computing; Network traffic control; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008852992,0.00008076213,0.0001079496,0.0000319559,0.00001473805,0.000005209653,0.00004500322,0.00007292759,0.00004811478],"category_scores_gemma":[0.000004088035,0.00007804221,0.0000256818,0.0000697607,0.00001185649,0.00008554098,0.00001819348,0.00007757513,0.000002949763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008586372,"about_ca_system_score_gemma":0.000001964624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002136898,"about_ca_topic_score_gemma":0.00001236667,"domain_scores_codex":[0.9995527,0.000008534888,0.0001488248,0.00008351513,0.000063732,0.0001427301],"domain_scores_gemma":[0.9997786,0.00001390098,0.000009650077,0.000127234,0.00002451894,0.00004606176],"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":[0.000002551722,0.000003843717,0.0002006453,0.0000125202,0.00001938845,0.000001494193,0.00008829957,0.997814,0.0000688213,0.0001883499,0.00001134141,0.00158877],"study_design_scores_gemma":[0.0001057768,0.000009881034,0.0001925218,0.00001239704,0.0000148696,0.000001687278,0.00001326805,0.9991928,0.0001572905,0.0001802258,0.00003083191,0.00008842415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4501036,0.0004851777,0.5465664,8.998931e-7,0.00004974443,0.00005547246,1.862371e-7,0.0001084056,0.002630158],"genre_scores_gemma":[0.9966478,0.00005783818,0.003204984,0.00001071368,0.00003969798,0.000002102318,0.00000248286,0.00002064409,0.00001367578],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5465443,"threshold_uncertainty_score":0.3182469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017143880510667,"score_gpt":0.2006402550990759,"score_spread":0.1834963745884089,"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."}}