{"id":"W4296715309","doi":"10.18280/mmep.090409","title":"Performance Evaluation of IPTV Zapping Time Reduction Using Edge Processing of Fog RAN","year":2022,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"IPTV; Computer network; Latency (audio); Computer science; Cloud computing; Radio access network; Enhanced Data Rates for GSM Evolution; Access network; Wireless; Internet Protocol; The Internet; Base station; Telecommunications; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000698082,0.00084267,0.0007494011,0.000652364,0.0005330431,0.0009185041,0.0008403666,0.0006313791,0.001601921],"category_scores_gemma":[0.001923882,0.0001283978,0.0004585939,0.0005509353,0.0003626718,0.0006115168,0.0005259018,0.0005345955,0.0002944688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006392514,"about_ca_system_score_gemma":0.0005350729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004863522,"about_ca_topic_score_gemma":0.002765766,"domain_scores_codex":[0.9991632,0.0001357242,0.00004788398,0.0001326643,0.0002833378,0.0002372823],"domain_scores_gemma":[0.9988257,0.0004720328,0.0001221726,0.000093577,0.0003668149,0.0001196136],"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":[0.004965551,0.0009749648,0.01330666,0.0009629029,0.0002686618,0.0009498906,0.0002960282,0.632956,0.1830189,0.003024741,0.003244575,0.1560312],"study_design_scores_gemma":[0.00008777022,0.003444669,0.007790793,0.00002556933,0.0001488495,0.0003391819,0.0001738833,0.9276487,0.05854866,0.0004173803,0.001317002,0.00005757165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9289999,0.001643186,0.05001811,0.0001953262,0.0001510771,0.0001228377,0.0002501064,0.001662384,0.01695717],"genre_scores_gemma":[0.9956392,0.0001602698,0.003577928,0.00002324942,0.000008481579,0.00001874998,0.0001056107,0.00001756754,0.0004489865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004863522,"threshold_uncertainty_score":0.009670436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08430663718815468,"score_gpt":0.2630036600548468,"score_spread":0.1786970228666921,"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."}}