{"id":"W4387402711","doi":"10.2139/ssrn.4594375","title":"Evaluating Tcp Bbrv3 Performance in Wired Broadband Networks","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brandon University","funders":"","keywords":"Broadband; Computer network; Computer science; Telecommunications; Business","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":[0.003091368,0.0007630341,0.0005405513,0.001159229,0.0005890294,0.001223452,0.000864259,0.001060492,0.001580524],"category_scores_gemma":[0.01049327,0.0002046944,0.0002229142,0.001117074,0.0005723245,0.000977995,0.0005439363,0.0005958936,0.000314174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00154097,"about_ca_system_score_gemma":0.0007936338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01594205,"about_ca_topic_score_gemma":0.008081168,"domain_scores_codex":[0.9977584,0.0009469464,0.0001082994,0.0001802215,0.0006415754,0.0003644948],"domain_scores_gemma":[0.9921715,0.005092242,0.0003963791,0.0004313978,0.001514686,0.0003938304],"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":[0.008318651,0.001665413,0.04359027,0.0002638788,0.0002283526,0.0003566853,0.0002133093,0.831108,0.03974554,0.0025469,0.003533728,0.06842925],"study_design_scores_gemma":[0.0001332139,0.002149609,0.01453651,0.0000121442,0.00008716706,0.00007620668,0.000138033,0.9652981,0.01636685,0.0007026359,0.0004707001,0.00002878033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927185,0.0001819901,0.003687151,0.0000769179,0.00003725147,0.00004545099,0.0002333161,0.0003854904,0.002634035],"genre_scores_gemma":[0.9982111,0.00003820628,0.001133949,0.00001284206,0.00001291782,0.000008366234,0.0001968769,0.0000235398,0.0003620894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01594205,"threshold_uncertainty_score":0.03169847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03177251053154383,"score_gpt":0.2881694298380664,"score_spread":0.2563969193065225,"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."}}