{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008141688,0.0009098874,0.001024005,0.001063933,0.0006182356,0.001667516,0.00187223,0.00153988,0.002055121],"category_scores_gemma":[0.002583008,0.0006258574,0.001077398,0.001551373,0.000593825,0.001317285,0.001249047,0.0009815492,0.001055628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009647075,"about_ca_system_score_gemma":0.001343022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01204247,"about_ca_topic_score_gemma":0.005763057,"domain_scores_codex":[0.9990394,0.0003696089,0.00008747203,0.0001018186,0.0003036641,0.00009804917],"domain_scores_gemma":[0.9994063,0.0002727513,0.00006574862,0.00008425415,0.0001341157,0.00003675803],"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":[0.00001032077,0.000009653852,0.000413522,0.00004072098,0.00001748837,0.00005392765,0.00003484897,0.9749191,0.0005339093,0.01696733,0.0007127549,0.006286343],"study_design_scores_gemma":[0.000006686469,0.00001113183,0.0001193132,0.00001498612,0.000006713689,0.00002676979,0.00001642192,0.9806225,0.0003515949,0.01070822,0.008105624,0.00001006314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0188469,0.002398783,0.9558947,0.000523415,0.0002413854,0.0002397474,0.001018641,0.001682897,0.01915351],"genre_scores_gemma":[0.6556275,0.009111162,0.3088697,0.0002310519,0.0003058329,0.001290251,0.003526863,0.0004280417,0.02060948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01204247,"threshold_uncertainty_score":0.02394474,"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."}}