{"id":"W2143225590","doi":"10.1109/icc.2006.255477","title":"Enhanced QoS Provisioning in Distributed Wireless Access","year":2006,"lang":"en","type":"article","venue":"2006 IEEE International Conference on Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Quality of service; Provisioning; Throughput; Channel (broadcasting); Wireless Multimedia Extensions; Wireless; Scheme (mathematics); Term (time); Real-time computing; Distributed computing; Wireless network; 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":[0.001668804,0.0003547161,0.0004391979,0.0003217545,0.000483395,0.001160181,0.0009231182,0.0005936561,0.0007908854],"category_scores_gemma":[0.004652428,0.0002478051,0.0001529231,0.0004146779,0.0004683097,0.001492144,0.001165222,0.0009093219,0.0001916254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006020192,"about_ca_system_score_gemma":0.0005099531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005631192,"about_ca_topic_score_gemma":0.0006308167,"domain_scores_codex":[0.9989858,0.0003303711,0.00005927877,0.0001319758,0.0003761893,0.0001162895],"domain_scores_gemma":[0.9980657,0.0008331133,0.000138977,0.000395475,0.0004334192,0.000133319],"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":[0.0008681464,0.0003670247,0.00425675,0.0004120372,0.00007609741,0.001138633,0.000616551,0.2868113,0.08851194,0.1920013,0.005674284,0.4192659],"study_design_scores_gemma":[0.0000447468,0.00008608786,0.0006237963,0.0000189087,0.00002064178,0.0003393417,0.00005842956,0.9544904,0.006749016,0.02867854,0.008866567,0.00002370026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1320869,0.002604495,0.8541709,0.0006846558,0.000404234,0.00008821073,0.00005931747,0.0008742708,0.009027065],"genre_scores_gemma":[0.9494168,0.0004414,0.04767402,0.00009209313,0.0001530653,0.00003880867,0.00003893307,0.0000235281,0.00212147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001668804,"threshold_uncertainty_score":0.0088256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08532469804669834,"score_gpt":0.3716287878779557,"score_spread":0.2863040898312573,"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."}}