{"id":"W2101278913","doi":"10.1109/twc.2006.1638659","title":"Efficient channel utilization for real-time video in OVSF-CDMA systems with QoS assurance","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Quality of service; Code division multiple access; Markov process; Frame (networking); Channel (broadcasting); Network packet; Real-time computing; Bandwidth (computing); Channel allocation schemes; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005850248,0.0003364089,0.0003929042,0.0003295593,0.0003625282,0.0006123707,0.0003942604,0.0002682101,0.0004609153],"category_scores_gemma":[0.001992377,0.0001526096,0.0001345406,0.0003545617,0.0004745955,0.0007467172,0.0004189149,0.0002903554,0.00007364266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006483782,"about_ca_system_score_gemma":0.000903044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002202655,"about_ca_topic_score_gemma":0.002630951,"domain_scores_codex":[0.9995858,0.0001241247,0.00001311529,0.00004533363,0.0001265592,0.0001051171],"domain_scores_gemma":[0.9991311,0.0004891598,0.0001176532,0.00008020513,0.0001458697,0.00003591219],"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":[0.0003484258,0.00008998939,0.002979417,0.0001346687,0.00004440901,0.0002666325,0.0002188166,0.8282562,0.04317177,0.03594271,0.0006994202,0.08784751],"study_design_scores_gemma":[0.000008332391,0.00004168596,0.0002707227,0.000004866874,0.000008429349,0.00006751417,0.00002751509,0.9919041,0.004430423,0.002895814,0.0003337796,0.000006786142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2828524,0.0009482584,0.7139407,0.0001269136,0.00003253916,0.00002089385,0.00002617828,0.0001482599,0.001903775],"genre_scores_gemma":[0.986013,0.0002090008,0.01343966,0.00001476634,0.00001200537,0.000009630795,0.00001011953,0.000007097485,0.0002847653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002202655,"threshold_uncertainty_score":0.004704356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815245135278348,"score_gpt":0.2395674246574978,"score_spread":0.2214149733047143,"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."}}