{"id":"W2059312872","doi":"10.1155/2010/489527","title":"Mathematical Analysis of EDCA's Performance on the Control Channel of an IEEE 802.11p WAVE Vehicular Network","year":2010,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"IEEE 802.11p; Computer science; Channel (broadcasting); Markov chain; Computer network; Throughput; Frame (networking); Transmission (telecommunications); IEEE 802; Control channel; Wireless; Vehicular ad hoc network; IEEE 802.11; Protocol (science); IEEE 802.11e-2005; Wireless network; Telecommunications; Wireless ad hoc network","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":[0.00266422,0.001312617,0.001117242,0.001535743,0.001033377,0.001983244,0.001392552,0.001414598,0.004490281],"category_scores_gemma":[0.01275372,0.0005687526,0.0008247768,0.001336582,0.002647548,0.002218053,0.00141705,0.002020482,0.0006958555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003227684,"about_ca_system_score_gemma":0.001842472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008459395,"about_ca_topic_score_gemma":0.004588505,"domain_scores_codex":[0.9988777,0.0003447842,0.00003508865,0.0001480224,0.0003161245,0.0002782501],"domain_scores_gemma":[0.9887692,0.008411416,0.0009084464,0.0002918332,0.001424548,0.0001945134],"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":[0.00008897625,0.00004822594,0.0006291315,0.0001400068,0.00003842059,0.0001773043,0.000182266,0.805108,0.002240649,0.1828664,0.001852082,0.006628443],"study_design_scores_gemma":[0.000005428052,0.00002304817,0.0001590245,0.00001769272,0.0000135332,0.00003814698,0.00002073938,0.9881158,0.0002628259,0.01102981,0.0003016033,0.00001233423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07437218,0.003203531,0.8823434,0.001619406,0.0002062054,0.0001252355,0.0003207973,0.0002607621,0.03754847],"genre_scores_gemma":[0.9450213,0.00385758,0.03563406,0.0002878392,0.000235168,0.0003139504,0.0001873252,0.0001245006,0.01433837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008459395,"threshold_uncertainty_score":0.02341855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03672785614677315,"score_gpt":0.2735276524198676,"score_spread":0.2367997962730944,"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."}}