{"id":"W2062430203","doi":"10.1016/j.comcom.2009.09.001","title":"Implementation of MPC as an AQM controller","year":2009,"lang":"en","type":"article","venue":"Computer Communications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Active queue management; Computer science; Model predictive control; Queue; Field-programmable gate array; Control theory (sociology); Controller (irrigation); Computational complexity theory; PID controller; Network congestion; Control (management); Control engineering; Computer network; Algorithm; Embedded system; Artificial intelligence","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":[0.0007473846,0.00008586975,0.0001862182,0.0001908238,0.0002403142,0.0001159535,0.001893453,0.0000436476,0.0002317338],"category_scores_gemma":[0.00004963627,0.00007463677,0.00008945947,0.0005733523,0.00008678494,0.0003082804,0.0001875716,0.00008951285,0.0001069289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001887398,"about_ca_system_score_gemma":0.00004724998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007382106,"about_ca_topic_score_gemma":0.00003442887,"domain_scores_codex":[0.9984151,0.0002018656,0.000666535,0.0002204181,0.0003842804,0.000111797],"domain_scores_gemma":[0.9962977,0.000531171,0.0002874758,0.002307138,0.0004993324,0.00007721161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004773595,0.0002039276,0.001950875,3.658139e-7,0.00000786366,7.013786e-8,0.0006464433,0.000160929,0.0007503938,0.3300052,0.004898318,0.6613709],"study_design_scores_gemma":[0.001082339,0.000451543,0.1974281,0.00001078099,0.00002417741,0.000006595153,0.0008462884,0.1035035,0.001946757,0.5553224,0.1391076,0.0002698989],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1737761,0.0002031045,0.7938803,0.01638885,0.00008488302,0.001045091,0.0000403592,0.0003071909,0.01427405],"genre_scores_gemma":[0.9305168,0.00002605637,0.06824204,0.0009975344,0.00003849514,0.00002645566,0.00003212803,0.000004773712,0.0001157208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7567407,"threshold_uncertainty_score":0.3518538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1930213321738396,"score_gpt":0.5303509478373889,"score_spread":0.3373296156635494,"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."}}