{"id":"W2130719206","doi":"10.1109/pacrim.2005.1517249","title":"Admission control of multimedia sessions to a set of multimedia servers connected by an enterprise network","year":2005,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Reservation; Computer science; Quality of service; Server; Selection (genetic algorithm); Computer network; Admission control; Revenue; Set (abstract data type); Service (business); Control (management); Multimedia; IP Multimedia Subsystem; Quality (philosophy)","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":[0.0008942846,0.0004307634,0.0004174039,0.0005553807,0.0007901879,0.0008364732,0.001141157,0.0004881546,0.001473333],"category_scores_gemma":[0.003402686,0.0001522479,0.0002336833,0.000418568,0.0006665616,0.0007351538,0.0008979889,0.0005564924,0.0001091881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001368185,"about_ca_system_score_gemma":0.0008380609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006455249,"about_ca_topic_score_gemma":0.004453723,"domain_scores_codex":[0.9994191,0.0001523131,0.00002556718,0.00008795347,0.0001562276,0.0001588686],"domain_scores_gemma":[0.9987121,0.0006441577,0.0001472434,0.0001089448,0.0001801651,0.000207474],"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":[0.001046821,0.0005344562,0.01236908,0.0001018209,0.0001389365,0.0006168566,0.0006587479,0.7659147,0.04873787,0.04278758,0.001951102,0.125142],"study_design_scores_gemma":[0.00002497999,0.00005778506,0.0007617489,0.000003031633,0.00001431828,0.00003586557,0.00003679107,0.9907773,0.003642537,0.004015082,0.000622924,0.000007718854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7239662,0.0003651112,0.2652296,0.0003752097,0.00008244308,0.0002095203,0.00005708928,0.000849759,0.008865017],"genre_scores_gemma":[0.9941577,0.0000368595,0.004684123,0.00001667973,0.0000221175,0.00002703651,0.00001627089,0.000006970801,0.001032216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006455249,"threshold_uncertainty_score":0.01283532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008750235858298311,"score_gpt":0.2462231812859295,"score_spread":0.2374729454276312,"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."}}