{"id":"W2054526493","doi":"10.1002/wcm.239","title":"Adaptive admission/congestion control policies for CDMA‐based wireless internet","year":2005,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"King Fahd University of Petroleum and Minerals; Industry Canada; Concordia University","keywords":"Computer science; Computer network; Base station; Time division multiple access; Call Admission Control; Network congestion; Quality of service; Code division multiple access; Air interface; Queueing theory; Admission control; Wireless; CDMA2000; Real-time computing; Wireless network; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002973922,0.0004487613,0.0003871538,0.0007720242,0.0006831585,0.001044596,0.0009473943,0.0005958377,0.0006133],"category_scores_gemma":[0.009220306,0.0003080936,0.0001559758,0.0003816246,0.0009280457,0.0007031608,0.000641634,0.0008937164,0.00009457546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00219518,"about_ca_system_score_gemma":0.001273638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009761422,"about_ca_topic_score_gemma":0.004503865,"domain_scores_codex":[0.9989581,0.0004358571,0.00005031658,0.0001122176,0.0002547884,0.0001885639],"domain_scores_gemma":[0.9954195,0.002906551,0.0005683809,0.0002358578,0.000617063,0.0002526064],"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":[0.0006874352,0.0004001446,0.004250969,0.00004993398,0.00005856129,0.0001392347,0.0002319173,0.9202222,0.01201039,0.01351685,0.0009178218,0.04751457],"study_design_scores_gemma":[0.00002331292,0.00002541649,0.000217068,0.000001639555,0.000007348978,0.000006862555,0.000009456598,0.9974115,0.001080218,0.001135447,0.00007641746,0.000005302748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7291434,0.0006355096,0.2654521,0.0004822605,0.000124428,0.000173528,0.00004201052,0.0008676326,0.003079104],"genre_scores_gemma":[0.9946029,0.00004865011,0.005062189,0.0000280468,0.00001100693,0.00002126195,0.000007534254,0.000005116542,0.0002133149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009761422,"threshold_uncertainty_score":0.01940924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04032257590168921,"score_gpt":0.3228138176755777,"score_spread":0.2824912417738885,"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."}}