{"id":"W2162994244","doi":"10.1109/icc.2009.5199316","title":"Performance Analysis of the EDCA Medium Access Mechanism over the Control Channel of an IEEE 802.11p WAVE Vehicular Network","year":2009,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"IEEE 802.11p; Computer network; Computer science; Throughput; Channel (broadcasting); Frame (networking); Transmission (telecommunications); Control channel; Inter-Access Point Protocol; IEEE 802; Markov chain; IEEE 802.11b-1999; Wireless; IEEE 802.11e-2005; IEEE 802.11; Vehicular ad hoc network; Wireless network; Wireless ad hoc network; Telecommunications; Wi-Fi; Telecommunications link; Quality of service","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009183686,0.0001781497,0.0004252372,0.00007623273,0.0001985912,0.0001068229,0.002219658,0.00009966372,0.00004136976],"category_scores_gemma":[0.000007397022,0.0000897696,0.0002607913,0.001660102,0.00006704281,0.0004790922,0.0001756494,0.0001793232,8.994149e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001412575,"about_ca_system_score_gemma":0.00006420931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006275992,"about_ca_topic_score_gemma":0.00006141201,"domain_scores_codex":[0.9981779,0.0002028526,0.0004098116,0.000310698,0.0005377515,0.0003609773],"domain_scores_gemma":[0.9980959,0.0001245766,0.0003385002,0.001219517,0.0001498149,0.00007172902],"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":[0.00008374047,0.0002294325,0.002480762,0.00002986299,0.0008006936,0.000005019695,0.0008300659,0.9226578,0.0006726005,0.04407754,0.001691004,0.02644143],"study_design_scores_gemma":[0.0003367656,0.0001552546,0.07739191,0.00002956718,0.0001417912,0.000001329157,0.000006186052,0.9145055,0.004042587,0.003157618,0.0001107297,0.0001207965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3730951,0.0001076794,0.6142471,0.003002576,0.0008328892,0.006830908,0.000009327268,0.0001081817,0.001766169],"genre_scores_gemma":[0.9971795,0.00001738924,0.0005641882,0.001700723,0.0002424112,0.0002300903,0.000001149916,0.000006028162,0.00005853299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6240844,"threshold_uncertainty_score":0.4124713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697293794215854,"score_gpt":0.2547398712219463,"score_spread":0.2377669332797878,"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."}}