{"id":"W4235841246","doi":"10.32920/14639898","title":"A study of DiffServ based QoS issues in next generation mobile networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Quality of service; Computer network; Interconnectivity; IP Multimedia Subsystem; Code division multiple access; Mobile QoS; Cellular network; Access network; Service (business); Service provider","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":[],"consensus_categories":[],"category_scores_codex":[0.000896636,0.0002338176,0.0004809395,0.0002996096,0.00007113194,0.0005533923,0.003073535,0.0002512933,0.00007841599],"category_scores_gemma":[0.00004088552,0.000230478,0.00009160087,0.0008767803,0.00003671212,0.0002974702,0.005029805,0.00091052,0.000003311833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001135616,"about_ca_system_score_gemma":0.0002811699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001287024,"about_ca_topic_score_gemma":0.003261722,"domain_scores_codex":[0.9964349,0.001201234,0.0006827207,0.000731393,0.0006518468,0.0002978951],"domain_scores_gemma":[0.9955934,0.0002638517,0.0002191911,0.003465711,0.0003801893,0.00007760667],"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":[0.000003795799,0.001249092,0.002490825,0.00003054347,0.00002446755,0.00001475516,0.001352246,0.9819492,0.0001589243,0.0002865084,0.0006391642,0.01180046],"study_design_scores_gemma":[0.000409223,0.0001142587,0.003093777,0.00009596573,0.000003556694,4.984421e-7,0.0004991473,0.9951862,0.0002862061,0.00001657512,0.00009570346,0.0001988543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5806643,0.002111418,0.4143444,0.0005293402,0.0004478979,0.00153137,6.032332e-7,0.0001092778,0.0002613463],"genre_scores_gemma":[0.9777598,0.0005100232,0.02043509,0.00007669772,0.0001762032,0.0007995236,0.00005934705,0.00001811591,0.0001651765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3970955,"threshold_uncertainty_score":0.9398618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1178324518447148,"score_gpt":0.3573913267812615,"score_spread":0.2395588749365467,"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."}}