{"id":"W2118082742","doi":"10.1109/tsp.2005.861785","title":"Cross-Layer optimal connection admission control for variable bit rate multimedia traffic in packet wireless CDMA networks","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Computer network; Quality of service; Call Admission Control; Network packet; Wireless network; Code division multiple access; Admission control; Markov process; Wireless; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001236286,0.0003090452,0.000361912,0.0003895548,0.0007994666,0.0006907987,0.0008694088,0.0002818461,0.00005634065],"category_scores_gemma":[0.00001132373,0.0003087857,0.000125268,0.001307017,0.0001300348,0.001217359,0.000007570317,0.0007440455,0.00001149702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002159566,"about_ca_system_score_gemma":0.0003205358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006349386,"about_ca_topic_score_gemma":0.00007483122,"domain_scores_codex":[0.9972335,0.0003353833,0.0006483984,0.000685635,0.0003582578,0.0007387887],"domain_scores_gemma":[0.9977452,0.0009865903,0.0002060461,0.0005012366,0.0003859529,0.0001750419],"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":[0.0002649942,0.000322743,0.00002696501,0.0000384977,0.00001222453,0.000003748545,0.00008795444,0.8346897,0.004361225,0.00009254779,0.00006418398,0.1600352],"study_design_scores_gemma":[0.002762704,0.0001458964,0.0001933076,0.000200351,0.00001310941,0.00001010347,0.00002214077,0.9876018,0.008350268,0.0001370928,0.0002307285,0.0003325688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04624896,0.0001990644,0.9518644,0.0003261562,0.0002467456,0.0007325565,0.00001054652,0.000287475,0.00008407961],"genre_scores_gemma":[0.9785612,0.00002241357,0.02045528,0.0001245036,0.0001589812,0.0003239553,0.0000122839,0.00004708202,0.0002943303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9323122,"threshold_uncertainty_score":0.9999364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0242739614723515,"score_gpt":0.2958302235899355,"score_spread":0.271556262117584,"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."}}