{"id":"W3186416444","doi":"10.1109/netsoft51509.2021.9492531","title":"Revisiting Heavy-Hitter Detection on Commodity Programmable Switches","year":2021,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Research Foundation","keywords":"Computer science; Reset (finance); TRACE (psycholinguistics); Forwarding plane; Resource (disambiguation); State (computer science); Commodity; Distributed computing; Real-time computing; Computer network; Algorithm","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":[0.0002356618,0.0001064095,0.0001283279,0.00002983328,0.0001856405,0.0002986648,0.0002413777,0.00005565772,0.00003840475],"category_scores_gemma":[0.00005180143,0.00009149603,0.00006851621,0.0003967975,0.00001235101,0.0002212102,0.0001667637,0.0001639292,0.0001046137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003350122,"about_ca_system_score_gemma":0.00003020677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003352373,"about_ca_topic_score_gemma":0.00002803038,"domain_scores_codex":[0.998987,0.00005211627,0.000155196,0.0003503455,0.0001848934,0.0002704704],"domain_scores_gemma":[0.9991986,0.0001237248,0.00004528815,0.000483195,0.00008097167,0.00006821849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008346661,0.00006843659,0.003471044,0.00002107499,0.00001427797,0.00003130393,0.00008062026,0.0002468045,0.0002987702,0.00692568,0.002032094,0.9868016],"study_design_scores_gemma":[0.001921178,0.0006884238,0.04029099,0.0004972892,0.00003926366,0.0003480439,0.0001488258,0.2802534,0.3979255,0.0253075,0.2507734,0.001806107],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04354963,0.0001525828,0.9458643,0.003264757,0.0004588049,0.0001171307,4.467511e-7,0.0006500412,0.005942365],"genre_scores_gemma":[0.9675599,0.00001240549,0.02919752,0.002280015,0.0003008586,0.00001648864,0.000002419544,0.00000912412,0.0006212326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9849954,"threshold_uncertainty_score":0.37311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02279360383742883,"score_gpt":0.2396515038704256,"score_spread":0.2168579000329968,"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."}}