{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002457987,0.0001695346,0.0001729964,0.000196568,0.0001566112,0.0006110574,0.005094504,0.00008499422,0.00005138341],"category_scores_gemma":[0.00002328817,0.0001696484,0.00005722054,0.0004777104,0.00009184686,0.0007409106,0.0005809515,0.0003661022,0.00006505463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001337877,"about_ca_system_score_gemma":0.0001462186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005792001,"about_ca_topic_score_gemma":0.00108527,"domain_scores_codex":[0.9984429,0.000147654,0.0004517217,0.0003472187,0.0003513256,0.0002591666],"domain_scores_gemma":[0.9978443,0.0002190135,0.0002102877,0.001361351,0.0003132014,0.0000518138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001967694,0.0004692384,0.001491944,0.000005589599,0.00001357801,0.000004606067,0.00009135227,0.004950232,0.002086568,0.9627044,0.004051407,0.02411138],"study_design_scores_gemma":[0.001143736,0.00007773704,0.0152008,0.0004690781,0.000003796699,0.000005738145,0.0000315822,0.9291332,0.005544103,0.03428776,0.01355105,0.00055137],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01478403,0.00003645864,0.8516391,0.0127736,0.0007468952,0.002314353,0.00009045094,0.0002732828,0.1173419],"genre_scores_gemma":[0.9935504,0.00005690348,0.003887894,0.0002182374,0.0001229603,0.00155092,0.0001498187,0.00001015113,0.0004527181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9787664,"threshold_uncertainty_score":0.946694,"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."}}