{"id":"W2138033680","doi":"10.1109/vetec.1999.778524","title":"Optimal call admission policy for wireless multimedia networks","year":2003,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Quality of service; Computer network; Call Admission Control; Constant bitrate; Wireless network; Wireless; Control (management); Multimedia; Variable bitrate; Telecommunications; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0006360853,0.0001553289,0.0001757416,0.0001529591,0.0002481908,0.0001889681,0.001768982,0.0001320911,0.00003977559],"category_scores_gemma":[0.0002583171,0.0001345292,0.00008880598,0.0007022063,0.00006306169,0.000326168,0.0004034214,0.0002503581,0.00003387572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009071556,"about_ca_system_score_gemma":0.0003236598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004787472,"about_ca_topic_score_gemma":0.00001512995,"domain_scores_codex":[0.9982323,0.0002128201,0.0002658905,0.000381897,0.0003001679,0.0006069019],"domain_scores_gemma":[0.9975198,0.000604553,0.00006673028,0.00125676,0.000210256,0.0003418896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003124577,0.0002811485,0.0003724261,0.00002088821,0.00003695824,0.000005301842,0.0004099541,0.0856583,0.0005084258,0.5496473,0.03996529,0.3230627],"study_design_scores_gemma":[0.000498756,0.00005112178,0.0001599481,0.00001228075,0.000001205346,0.000006459702,0.00001001698,0.9576596,0.0009691101,0.0002960409,0.04016674,0.0001687339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001408555,0.0001911841,0.9884063,0.002597412,0.0001477416,0.0004272588,7.956609e-7,0.0002229095,0.00659783],"genre_scores_gemma":[0.6184337,0.0001370219,0.3770578,0.0004431467,0.0001529232,0.0001237381,0.000007182017,0.00002117149,0.003623368],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8720013,"threshold_uncertainty_score":0.5485939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02911500942044794,"score_gpt":0.3217072719878984,"score_spread":0.2925922625674505,"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."}}