{"id":"W2096054917","doi":"10.1109/ccnc.2007.17","title":"Performance Analysis of IEEE 802.11 DCF with Heterogeneous Traffic","year":2007,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Distributed coordination function; Computer science; IEEE 802.11; Polling; Computer network; Network allocation vector; Quality of service; Service set; IEEE 802.11e-2005; Access control; Random access; Inter-Access Point Protocol; IEEE 802.11s; Throughput; Wi-Fi; Wireless network; Wireless; Telecommunications; Wireless mesh network; Wi-Fi array","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":[0.001331614,0.001292824,0.0006669858,0.001207607,0.0007371922,0.001204633,0.00113163,0.00111051,0.0009075851],"category_scores_gemma":[0.004900764,0.0002915059,0.0004114021,0.001158324,0.0009296174,0.001144998,0.0007141515,0.0006715911,0.000270804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003551932,"about_ca_system_score_gemma":0.001041193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01143269,"about_ca_topic_score_gemma":0.003452986,"domain_scores_codex":[0.9985446,0.0003168861,0.00003314317,0.0002159391,0.0004499297,0.0004395345],"domain_scores_gemma":[0.9972839,0.00138929,0.0003085247,0.0001846973,0.0007347512,0.00009888511],"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":[0.00009081651,0.00006979438,0.00267468,0.00003945376,0.00002369366,0.0001715478,0.00009601837,0.9618235,0.00469007,0.01215129,0.0006310659,0.01753818],"study_design_scores_gemma":[0.000001731751,0.00003016548,0.0003129694,0.000002489079,0.00000470976,0.00003242314,0.00001343433,0.9983509,0.0005037136,0.0006024329,0.0001399575,0.000005154144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4278113,0.002294848,0.5445455,0.0007503705,0.00009517767,0.0001452696,0.0002172734,0.0006456663,0.02349459],"genre_scores_gemma":[0.9922764,0.0003587019,0.006138656,0.00003940367,0.0000199583,0.00003222248,0.00004514686,0.00002036336,0.001069192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01143269,"threshold_uncertainty_score":0.0257712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01308386289019821,"score_gpt":0.2421205117916055,"score_spread":0.2290366489014072,"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."}}