{"id":"W2113582384","doi":"10.1109/tvt.2008.920475","title":"Connection Admission Control for Multiservice Integrated Cellular/WLAN System","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer network; Quality of service; Admission control; Computer science; Handover; Cellular network; Call Admission Control; Wireless; Wireless network; Wi-Fi; Maximization; Channel (broadcasting); Telecommunications; Mathematical optimization","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":[0.0007907607,0.0005418233,0.0006675724,0.000574632,0.0009454826,0.001445076,0.001297993,0.0007018413,0.001655196],"category_scores_gemma":[0.001571536,0.0001980782,0.0003326284,0.0007039809,0.0006339049,0.0007294464,0.0007956753,0.001001334,0.0002079009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001998507,"about_ca_system_score_gemma":0.001664488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01093198,"about_ca_topic_score_gemma":0.007458878,"domain_scores_codex":[0.9988478,0.0002012963,0.00004680469,0.0001927968,0.0004023951,0.0003089227],"domain_scores_gemma":[0.9990954,0.0002547015,0.0001560841,0.0000876442,0.0002776758,0.0001284385],"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":[0.000727422,0.0005991307,0.003170034,0.0001457243,0.00009867482,0.0006593971,0.0003213331,0.7862964,0.03405822,0.0254962,0.003188686,0.1452387],"study_design_scores_gemma":[0.00002216591,0.00003299812,0.000227191,0.000002824481,0.00001113719,0.00004319218,0.00001327201,0.9965304,0.001092081,0.001709002,0.0003071731,0.00000873458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.305631,0.00143981,0.6782305,0.0006108403,0.0001779332,0.0002335356,0.00007348989,0.00165367,0.01194929],"genre_scores_gemma":[0.9933556,0.00007384329,0.005758116,0.00003635621,0.00002548492,0.00002799553,0.00001573,0.000007151225,0.0006998283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01093198,"threshold_uncertainty_score":0.02173668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412913206009159,"score_gpt":0.2297532875300605,"score_spread":0.2156241554699689,"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."}}