{"id":"W3049272805","doi":"10.1109/tsp49548.2020.9163512","title":"A Performance Evaluation of TCP BBRv2 Alpha","year":2020,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Bottleneck; Computer science; Bandwidth (computing); Network congestion; H-TCP; Queueing theory; Computer network; Latency (audio); HSTCP; Bandwidth allocation; TCP Friendly Rate Control; Distributed computing; TCP acceleration; Telecommunications; Network packet; Embedded system","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":[0.003894158,0.001228631,0.0009174416,0.001364544,0.0006105473,0.001046741,0.001299351,0.0007009209,0.001163679],"category_scores_gemma":[0.006006212,0.00027279,0.0002419868,0.001209341,0.0004420094,0.001228268,0.0006028196,0.0008231045,0.0002720566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001021939,"about_ca_system_score_gemma":0.000795053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005370935,"about_ca_topic_score_gemma":0.001915935,"domain_scores_codex":[0.9972458,0.000909415,0.0001934589,0.0003730358,0.0008678539,0.0004104815],"domain_scores_gemma":[0.9945662,0.00149836,0.0002802822,0.0008598854,0.002277639,0.0005175676],"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":[0.01619161,0.003798191,0.04183859,0.001176772,0.0007582881,0.001125962,0.0008803124,0.3722449,0.2652782,0.008082766,0.01533762,0.2732867],"study_design_scores_gemma":[0.0003544386,0.007572436,0.01744342,0.0000276049,0.0001217216,0.0005976227,0.0001171904,0.9273849,0.04146519,0.0005560881,0.004264658,0.00009482721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605926,0.001114642,0.02417614,0.0001774554,0.0002861718,0.0003353085,0.0005906201,0.004438743,0.00828829],"genre_scores_gemma":[0.9914072,0.0001528021,0.006472839,0.00004470194,0.0000378328,0.00006096103,0.0007670107,0.0000848369,0.0009718264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005370935,"threshold_uncertainty_score":0.02059454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04093758254238683,"score_gpt":0.2475983079673272,"score_spread":0.2066607254249404,"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."}}