{"id":"W4245207943","doi":"10.1109/glocom.2014.7417599","title":"A Performance Study of CPRI over Ethernet with IEEE 802.1Qbu and 802.1Qbv Enhancements","year":2014,"lang":"en","type":"article","venue":"2015 IEEE Global Communications Conference (GLOBECOM)","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Jitter; Ethernet; Ethernet flow control; Computer network; Computer science; 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":[0.001928958,0.0004614651,0.0003718658,0.0008114862,0.000463983,0.0007259886,0.0005997019,0.0004076139,0.0009266253],"category_scores_gemma":[0.005691836,0.0001349959,0.0001653343,0.0008437547,0.0004574068,0.001243674,0.0003477764,0.0005166521,0.0001284513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226859,"about_ca_system_score_gemma":0.0005174325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005619999,"about_ca_topic_score_gemma":0.002893067,"domain_scores_codex":[0.9986057,0.0002925122,0.00007342765,0.0001754614,0.0004634479,0.0003894801],"domain_scores_gemma":[0.9959648,0.002041591,0.0004378812,0.000251582,0.001158518,0.0001456709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002927141,0.0007285632,0.04985733,0.0006115308,0.000202779,0.0009920684,0.0009384652,0.707505,0.1232736,0.01635176,0.003455771,0.09315599],"study_design_scores_gemma":[0.00005957571,0.00313505,0.01552403,0.00004298597,0.0001054172,0.0004019449,0.0004799406,0.9379676,0.03936968,0.0009308807,0.001931595,0.00005131478],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842311,0.0006250645,0.009360261,0.0001751067,0.00004033971,0.00003422836,0.00008672258,0.000186892,0.005260333],"genre_scores_gemma":[0.9980642,0.0001242517,0.001406787,0.00001635744,0.000009930665,0.000006631439,0.00005497459,0.000009459853,0.000307411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005619999,"threshold_uncertainty_score":0.01117456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02693266709747226,"score_gpt":0.2785840003173586,"score_spread":0.2516513332198863,"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."}}