{"id":"W2363038353","doi":"","title":"QoS-aware call admission control in wideband CDMA wireless networks: Research Articles","year":2006,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Guelph; Queen's University","funders":"","keywords":"UMTS frequency bands; Computer science; Quality of service; Computer network; Call Admission Control; Throughput; Power control; Telecommunications link; Radio resource management; Admission control; Wireless; Air interface; Wideband; Cellular network; Wireless network; Telecommunications; Power (physics); Base station; Engineering","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":[0.0009678916,0.0005104379,0.0006380819,0.0007006169,0.0006605463,0.00207818,0.0007099525,0.001155512,0.001921637],"category_scores_gemma":[0.002568945,0.000255385,0.0002196853,0.001899821,0.0008255808,0.001333615,0.0004289167,0.001032705,0.0004969818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008915935,"about_ca_system_score_gemma":0.0009018011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003547854,"about_ca_topic_score_gemma":0.001585403,"domain_scores_codex":[0.9992831,0.0001559464,0.00004124433,0.0001090632,0.0003289648,0.0000816753],"domain_scores_gemma":[0.9985606,0.0008569672,0.00008356057,0.00008771532,0.0003333404,0.00007784357],"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":[0.0002545668,0.0002776116,0.001839515,0.0005943672,0.00006320669,0.0003245301,0.0003537335,0.08645251,0.02059057,0.0629608,0.007996746,0.8182919],"study_design_scores_gemma":[0.00007938191,0.0002466184,0.002217808,0.0002253374,0.0001219254,0.0007430587,0.0003423592,0.841762,0.01935897,0.05179702,0.08299998,0.0001054858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07191819,0.1401259,0.749955,0.00312434,0.001674675,0.0001870338,0.00006657863,0.001185683,0.03176254],"genre_scores_gemma":[0.7352981,0.07224024,0.1669514,0.0005317685,0.004305863,0.0001167287,0.0001642292,0.0001561391,0.02023562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003547854,"threshold_uncertainty_score":0.007054389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0441005651710638,"score_gpt":0.3529908868728505,"score_spread":0.3088903217017867,"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."}}