{"id":"W2061555057","doi":"10.1109/mnet.2005.1509947","title":"Resource management for QoS support in cellular/WLAN interworking","year":2005,"lang":"en","type":"article","venue":"IEEE Network","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer network; Computer science; Handover; Quality of service; Call Admission Control; Admission control; Resource management (computing); Resource allocation; Wireless network; Mobility management; Cellular network; Wireless; Provisioning; Telecommunications","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":[0.0007218211,0.0002944037,0.0002483373,0.0003196025,0.0005430668,0.0009148102,0.0005889575,0.0003847677,0.001402299],"category_scores_gemma":[0.001298909,0.0001530446,0.0001385868,0.0003255429,0.0006081744,0.0007132632,0.000619386,0.0005379384,0.0002314879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005848107,"about_ca_system_score_gemma":0.0005454453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001408294,"about_ca_topic_score_gemma":0.001150978,"domain_scores_codex":[0.9996566,0.0001149847,0.00001714718,0.00003010465,0.0001270493,0.00005417629],"domain_scores_gemma":[0.9997521,0.0001176419,0.00002889692,0.00002727909,0.00005346257,0.00002064075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002699129,0.0001842055,0.000974743,0.0002355894,0.0000481148,0.0006009405,0.0003150511,0.457044,0.07551869,0.2093848,0.004224181,0.2511998],"study_design_scores_gemma":[0.00002868286,0.00005622445,0.0003715325,0.00001909142,0.00001891875,0.00007971984,0.00006399991,0.9613758,0.004456207,0.02843356,0.005080841,0.00001539373],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1273144,0.005902419,0.8444436,0.000974222,0.0003293925,0.0001314963,0.0000289553,0.0003425741,0.02053292],"genre_scores_gemma":[0.9642807,0.0007138276,0.03254886,0.0001045139,0.0001048046,0.00007060844,0.00001808149,0.00001783141,0.002140823],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001408294,"threshold_uncertainty_score":0.004691124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03433723377642627,"score_gpt":0.292508955248031,"score_spread":0.2581717214716047,"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."}}