{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001730182,0.0007820935,0.0009215451,0.0007964516,0.0008448758,0.001556252,0.001031118,0.001049372,0.001273589],"category_scores_gemma":[0.005369677,0.0004218728,0.0002934719,0.0007828679,0.001118391,0.001130652,0.0007037658,0.00113808,0.0002490302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002204382,"about_ca_system_score_gemma":0.002401676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006041709,"about_ca_topic_score_gemma":0.003275458,"domain_scores_codex":[0.9983124,0.0007145207,0.00007027607,0.0001510836,0.0005080149,0.0002436712],"domain_scores_gemma":[0.9983377,0.001103523,0.0001543689,0.00006680517,0.0002505308,0.00008706542],"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":[0.0002452575,0.0001043592,0.0004282939,0.00008405223,0.00003530218,0.00007954772,0.00009187681,0.8894059,0.005417365,0.04655334,0.002312241,0.05524233],"study_design_scores_gemma":[0.00001351245,0.0000124738,0.00007711051,0.000003406564,0.000005750049,0.000008336127,0.000006873152,0.9914472,0.0004599373,0.007721088,0.0002371077,0.000007219224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05222703,0.001676441,0.9392676,0.0006935357,0.0001602601,0.00009148392,0.00005531609,0.0005975299,0.005230868],"genre_scores_gemma":[0.9291029,0.0006910003,0.0676239,0.0001672029,0.0001884751,0.0001198272,0.00006358223,0.00005151143,0.001991642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006041709,"threshold_uncertainty_score":0.01599401,"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."}}