{"id":"W2139180708","doi":"10.1109/fpt.2004.1393316","title":"An FPGA implementation of a modified version of RED algorithm","year":2005,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Random early detection; Network packet; Field-programmable gate array; Baud; Algorithm; Network congestion; Parallel computing; Computer network; Embedded system; Active queue management; 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":[0.0003106949,0.0005654231,0.0003886631,0.0005635698,0.0002412105,0.0006129076,0.001003037,0.000538793,0.006059175],"category_scores_gemma":[0.0006338285,0.0002919816,0.0002665828,0.0003139398,0.0001762215,0.0004783073,0.000163945,0.0004717933,0.001476939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004322827,"about_ca_system_score_gemma":0.0003746854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001324087,"about_ca_topic_score_gemma":0.001807778,"domain_scores_codex":[0.999602,0.00006965671,0.00002996221,0.00007592692,0.0001478147,0.0000746967],"domain_scores_gemma":[0.9995896,0.00009981795,0.0000411724,0.0000989293,0.0001414566,0.00002898086],"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":[0.003071425,0.0003899516,0.002181761,0.0004928298,0.0002319009,0.0009299633,0.0001600883,0.06682395,0.3216273,0.0120525,0.01554166,0.5764967],"study_design_scores_gemma":[0.0006898137,0.001937886,0.006243858,0.00007422613,0.000248888,0.00253656,0.00005033804,0.5847095,0.3465577,0.00172276,0.05505836,0.0001700681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1491899,0.0009629595,0.809906,0.0003372967,0.0007583124,0.0004165014,0.0003433981,0.01591626,0.02216942],"genre_scores_gemma":[0.4947875,0.0002757927,0.4887645,0.0002804552,0.0001127451,0.0001219186,0.0003649018,0.0002062143,0.01508593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006059175,"threshold_uncertainty_score":0.02026993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010208051911891,"score_gpt":0.2649884220106986,"score_spread":0.2547803700988076,"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."}}