{"id":"W2548294119","doi":"10.1109/newcas.2016.7604761","title":"A fast systolic priority queue architecture for a flow-based Traffic Manager","year":2016,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Network packet; Computer network; Field-programmable gate array; Packet processing; Scheduling (production processes); Queue; Architecture; USable; Latency (audio); Network processor; Embedded system; Real-time computing; Telecommunications; Engineering","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":[0.0002055337,0.0001746363,0.0001963379,0.0000992016,0.0001086095,0.0001010213,0.0006709623,0.00008767653,0.0000276452],"category_scores_gemma":[0.00004897183,0.000102462,0.000147129,0.0002709941,0.00003706451,0.0001281348,0.00009005218,0.0000749546,0.00005274338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000395563,"about_ca_system_score_gemma":0.00007656083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001204499,"about_ca_topic_score_gemma":0.00009896657,"domain_scores_codex":[0.9987099,0.00004266236,0.000182188,0.0004658987,0.0001821478,0.0004172535],"domain_scores_gemma":[0.9987677,0.0003768681,0.00005061145,0.0006228788,0.0000569954,0.0001250009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003752232,0.00008864862,0.0001362415,0.00006627394,0.00002613662,0.00001374233,0.0001892586,0.007766339,0.0001136645,0.01824025,0.01055654,0.9627654],"study_design_scores_gemma":[0.004512584,0.0004982253,0.002802818,0.0003211596,0.00003598328,0.0000481849,0.00001419621,0.8575128,0.0007352849,0.007613439,0.1248167,0.001088578],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008408216,0.00007532912,0.985456,0.004342837,0.0003202378,0.0003991959,0.000008246933,0.0006253279,0.0003645477],"genre_scores_gemma":[0.7289163,0.000004474191,0.2673553,0.001769977,0.0002631534,0.0001392428,0.000002688156,0.00002442252,0.001524448],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9616768,"threshold_uncertainty_score":0.4178278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00981050785109884,"score_gpt":0.2192363956244818,"score_spread":0.209425887773383,"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."}}