{"id":"W2147842707","doi":"10.1109/tvt.2009.2026177","title":"MIMO-Based Collision Avoidance in IEEE 802.11e Networks","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Distributed coordination function; Network allocation vector; Computer science; Computer network; MIMO; Service set; IEEE 802.11e-2005; IEEE 802; Channel (broadcasting); Wireless Multimedia Extensions; Wi-Fi; Quality of service; IEEE 802.11; Wireless network; Wireless; Telecommunications; 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":[0.001662759,0.0004712819,0.0005792757,0.0004697984,0.0008658326,0.0007218507,0.0009093047,0.0006358151,0.0006398823],"category_scores_gemma":[0.003307843,0.0003699954,0.0003434735,0.0005719477,0.0008539309,0.000995285,0.0009582525,0.0007883466,0.0001524234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007907897,"about_ca_system_score_gemma":0.0007863767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00276497,"about_ca_topic_score_gemma":0.002176359,"domain_scores_codex":[0.9985266,0.0004061812,0.00006660634,0.0001769509,0.0005957091,0.0002278765],"domain_scores_gemma":[0.9979903,0.001109442,0.0002449726,0.0001645139,0.0004322245,0.00005860657],"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":[0.0004636571,0.0001330078,0.003004571,0.0002152955,0.0001168263,0.0005938228,0.0004672034,0.7677391,0.03531657,0.04841185,0.002507432,0.1410306],"study_design_scores_gemma":[0.0000370929,0.0001857137,0.0007140583,0.00002261481,0.00003235844,0.0003541894,0.00005807053,0.9801409,0.008326981,0.007804641,0.002279342,0.00004408791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04598014,0.002238656,0.9472882,0.000252022,0.0002040658,0.00004845121,0.00002457677,0.0003248404,0.003638977],"genre_scores_gemma":[0.939461,0.0008920516,0.05783351,0.0002066576,0.00007847154,0.00005071086,0.00002839623,0.00001040659,0.001438744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00276497,"threshold_uncertainty_score":0.008793652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009390164194784754,"score_gpt":0.2414733198933857,"score_spread":0.232083155698601,"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."}}