{"id":"W2135724071","doi":"10.1109/icc.2005.1495043","title":"Cross-layer QoS provisioning in packet wireless CDMA networks","year":2005,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Computer network; Quality of service; Code division multiple access; Network packet; Call Admission Control; Wireless network; Markov process; Physical layer; Blocking (statistics); 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":[0.001921377,0.0005539092,0.0004152046,0.0005283484,0.0006173089,0.001088935,0.0007187253,0.0008102796,0.0009099559],"category_scores_gemma":[0.005158067,0.0004436226,0.0002083295,0.0007310082,0.0008421094,0.001345953,0.001319492,0.0008326565,0.0001614008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007659715,"about_ca_system_score_gemma":0.0007581417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001787346,"about_ca_topic_score_gemma":0.001162487,"domain_scores_codex":[0.9990278,0.0003959163,0.00004029944,0.0001241642,0.0002867088,0.0001251714],"domain_scores_gemma":[0.9986237,0.0007652705,0.0001552712,0.0001554751,0.0002165556,0.00008371405],"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":[0.000147784,0.00008909248,0.002173942,0.0001061813,0.00004186282,0.000246412,0.0001329665,0.8421492,0.01325094,0.05215738,0.001318462,0.08818578],"study_design_scores_gemma":[0.000007237791,0.00001829928,0.0001504548,0.000004137899,0.000006666048,0.00004296832,0.00001495744,0.9905639,0.001865276,0.006664488,0.0006567365,0.000004903073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2080027,0.003150021,0.7828588,0.0006238729,0.0002020274,0.0000669331,0.00004241733,0.0004695472,0.004583663],"genre_scores_gemma":[0.9468632,0.0008303766,0.0509318,0.0001049669,0.00006916387,0.00004319093,0.00003888127,0.00002700428,0.00109134],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001921377,"threshold_uncertainty_score":0.01016128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03053647644791755,"score_gpt":0.3324210800507241,"score_spread":0.3018846036028066,"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."}}