{"id":"W2739536691","doi":"10.1109/icc.2017.7997015","title":"Evaluation of MU-TXOP sharing probabilities in IEEE 802.11ac","year":2017,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Throughput; Computer network; IEEE 802; Telecommunications link; Queueing theory; Wireless lan; Markov chain; Transmission (telecommunications); Real-time computing; Wireless; Quality of service; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00223662,0.00006312684,0.0001128104,0.0000406894,0.00008913387,0.00017812,0.0009407665,0.00003971935,0.00003927423],"category_scores_gemma":[0.0000867091,0.00005297084,0.00002842314,0.00005671393,0.00003889229,0.0005752146,0.0002098589,0.00005988897,0.000007713097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003842436,"about_ca_system_score_gemma":0.00008424391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002738594,"about_ca_topic_score_gemma":0.0003565049,"domain_scores_codex":[0.9989755,0.00006051461,0.0001904823,0.0002212675,0.0004067463,0.0001455274],"domain_scores_gemma":[0.9988338,0.00003477165,0.0001166859,0.0008188435,0.0001712076,0.00002468091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001657606,0.0002036862,0.08625479,0.0001523148,0.00002667811,0.000003298116,0.002559057,0.0242238,0.0008048096,0.189556,0.001085438,0.6951135],"study_design_scores_gemma":[0.0005052079,0.00004926891,0.05237313,0.0001038695,0.000003732082,7.600378e-7,0.00001453892,0.8774377,0.003576861,0.0656312,0.0001957135,0.0001080971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7874933,0.00008645605,0.09945343,0.001151192,0.0006833684,0.01212112,0.000001183067,0.0001266797,0.09888327],"genre_scores_gemma":[0.9937401,0.000001597919,0.00478346,0.00002108229,0.00005081089,0.001138241,1.684741e-7,0.000003055814,0.0002614728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8532138,"threshold_uncertainty_score":0.2160088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1311831032995646,"score_gpt":0.3655231791062354,"score_spread":0.2343400758066708,"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."}}