{"id":"W1606033637","doi":"10.1109/glocom.1997.632523","title":"Joint access control and user removal in a CDMA cell with multimedia traffic","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Code division multiple access; Computer science; Computer network; Quality of service; Cellular network; Bandwidth (computing); Call Admission Control; Joint (building); Channel allocation schemes; Admission control; Channel (broadcasting); Multimedia; Wireless network; Wireless; Telecommunications; 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":[0.001542824,0.0007601731,0.0008871804,0.0005062832,0.001528557,0.001636109,0.001678319,0.001162443,0.001238061],"category_scores_gemma":[0.007564873,0.0004039734,0.0004615606,0.0005841556,0.001308876,0.002208883,0.002187647,0.0009306166,0.0004238498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004921312,"about_ca_system_score_gemma":0.0009894317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002258972,"about_ca_topic_score_gemma":0.001763275,"domain_scores_codex":[0.9980563,0.000402821,0.00007872537,0.0002969399,0.0007637179,0.0004015352],"domain_scores_gemma":[0.9966556,0.00171409,0.0002551958,0.0005252158,0.0006062147,0.0002437396],"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":[0.001441141,0.000603947,0.004921486,0.0001715969,0.0001351847,0.001163246,0.001440708,0.1598994,0.1930532,0.08554801,0.00192407,0.5496979],"study_design_scores_gemma":[0.00007691189,0.0003497464,0.001373278,0.00001309523,0.00008890949,0.0004676485,0.0001856355,0.9230731,0.04779181,0.02320056,0.003328537,0.00005086673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.218294,0.0003967597,0.7772991,0.0002199485,0.00006822633,0.00006907825,0.00002664779,0.0005083468,0.003117805],"genre_scores_gemma":[0.9404906,0.0001294716,0.05366141,0.00008640242,0.0001258506,0.00006968512,0.00005523466,0.00006115524,0.005320157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002258972,"threshold_uncertainty_score":0.008159339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03771424219165851,"score_gpt":0.2622612412886125,"score_spread":0.224546999096954,"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."}}