{"id":"W2117764780","doi":"10.1109/bsc.2006.1644600","title":"Improving the Throughput Performance of IEEE 802.11 Distributed Coordination Function","year":2006,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Distributed coordination function; Computer science; Throughput; Computer network; Carrier sense multiple access with collision avoidance; Network packet; Overhead (engineering); Network allocation vector; IEEE 802.11; Channel (broadcasting); Transmission (telecommunications); Idle; Protocol (science); Wireless; Telecommunications","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":[0.001168609,0.0005486675,0.0004778994,0.0004145227,0.0004823255,0.0006905339,0.0008241173,0.0004884297,0.0007442101],"category_scores_gemma":[0.006029837,0.0001823647,0.000215081,0.0005131916,0.0004261851,0.001240265,0.0005003323,0.0006542597,0.00020529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001041788,"about_ca_system_score_gemma":0.0008588691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001596751,"about_ca_topic_score_gemma":0.001061092,"domain_scores_codex":[0.9992181,0.0002214683,0.00003565122,0.0001048101,0.000274447,0.000145571],"domain_scores_gemma":[0.9983834,0.000875949,0.0001100438,0.000240162,0.0003561028,0.00003431576],"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":[0.001117709,0.0004625418,0.006350777,0.0002903611,0.00009435154,0.0004362887,0.0003687015,0.6050034,0.163708,0.01793112,0.003482548,0.2007542],"study_design_scores_gemma":[0.0000394792,0.0002758082,0.001513398,0.000008429295,0.00003141606,0.0001231485,0.00003503733,0.9393106,0.05550586,0.001631681,0.001507935,0.00001721494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6155639,0.001112643,0.369251,0.0005677741,0.000217346,0.00009244691,0.00008779751,0.002651813,0.01045531],"genre_scores_gemma":[0.984171,0.00014363,0.01486103,0.00001672477,0.00001938642,0.00002502868,0.00002607107,0.00001987582,0.0007172047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001596751,"threshold_uncertainty_score":0.007558703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009881429718533489,"score_gpt":0.2123513077638195,"score_spread":0.202469878045286,"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."}}