{"id":"W2105916639","doi":"10.1109/wcnc.2008.356","title":"Statistical Connection Admission Control for Mobile WiMAX Systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"WiMAX; Computer science; Computer network; Coding (social sciences); Admission control; Quality of service; Real-time computing; Frame (networking); Connection (principal bundle); Variance (accounting); Wireless; Mathematics; Telecommunications; Statistics","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":[0.00003925629,0.00008879892,0.0001320845,0.00002987347,0.00007539114,0.000008912537,0.00003142728,0.00005872052,0.00005484958],"category_scores_gemma":[0.00002760103,0.00008353422,0.00001946257,0.0000616742,0.00001487161,0.0001003696,0.000002905068,0.00004705562,0.0000150321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005769019,"about_ca_system_score_gemma":0.000008656278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003411757,"about_ca_topic_score_gemma":9.924831e-7,"domain_scores_codex":[0.9994861,0.00001082821,0.0001618673,0.0001079288,0.0000731452,0.0001601485],"domain_scores_gemma":[0.9996206,0.0001551616,0.00001756924,0.00008655391,0.00005010176,0.00007008261],"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":[0.00002028249,0.000008493941,0.0000830187,0.00003231498,0.000009953776,0.000001500418,0.00001685079,0.9905672,0.0005112594,0.002061818,0.005520254,0.001167055],"study_design_scores_gemma":[0.0006871268,0.00006254545,0.00007592078,0.00001076775,0.000007079543,0.00001537859,0.00002760038,0.9906279,0.0003510687,0.00005351619,0.007971088,0.0001099392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005236555,0.0002219894,0.9921341,0.000004731564,0.0004511127,0.0005746329,0.00002387966,0.0004820608,0.0008709189],"genre_scores_gemma":[0.9824878,0.00008597356,0.016595,0.00001461641,0.0001502857,0.0002662606,0.00005416982,0.00003286926,0.000313029],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9772512,"threshold_uncertainty_score":0.3406427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008590433358699433,"score_gpt":0.2232054443379469,"score_spread":0.2146150109792475,"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."}}