{"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":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.006155901,0.0001590125,0.0003547051,0.0009390319,0.0002039269,0.0007823544,0.006784433,0.0001452727,0.00001043086],"category_scores_gemma":[0.0002183428,0.0001434939,0.0001138457,0.0009513387,0.0001729996,0.001142532,0.0007661071,0.001077551,0.00002149321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000500043,"about_ca_system_score_gemma":0.0002905563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008301482,"about_ca_topic_score_gemma":0.0002515326,"domain_scores_codex":[0.9932753,0.002713659,0.001434366,0.0002236118,0.001958004,0.0003950085],"domain_scores_gemma":[0.9921895,0.002104056,0.0007367442,0.001414641,0.003394752,0.0001602517],"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":[0.0005992484,0.001645693,0.05676813,0.00002543052,0.0002982432,0.0002342921,0.001614208,0.690963,0.003798251,0.1409671,0.05234066,0.05074576],"study_design_scores_gemma":[0.002214795,0.00008316834,0.01236692,0.0008026207,0.000003916255,0.0001506722,0.0002678416,0.9579324,0.0002018293,0.001524056,0.0242533,0.0001985078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1241218,0.01689462,0.8309529,0.0220128,0.001808447,0.0008169716,0.000007002198,0.0001062187,0.003279207],"genre_scores_gemma":[0.9968188,0.001305218,0.001056652,0.00009111722,0.000438674,0.00003842518,0.00000950173,0.00001912811,0.0002224559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8726971,"threshold_uncertainty_score":0.9985893,"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."}}