{"id":"W2152691250","doi":"10.1109/cdc.1992.371024","title":"Computational methods for the local control of loss-sensitive sources in integrated services networks","year":2005,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Maximization; Computer science; Linear programming; Mathematical optimization; Piecewise linear function; Function (biology); Dual (grammatical number); Point (geometry); Line (geometry); Control (management); Algorithm; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001213253,0.0007200516,0.0007985762,0.000618862,0.0006029581,0.0009829107,0.001088088,0.0009048661,0.003875568],"category_scores_gemma":[0.002844907,0.0003884366,0.0005696285,0.0007287484,0.001207024,0.0009302913,0.001128671,0.001292853,0.0003202577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159559,"about_ca_system_score_gemma":0.001444216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007010136,"about_ca_topic_score_gemma":0.006689007,"domain_scores_codex":[0.9997106,0.0001255603,0.000008565402,0.00002833464,0.00009881888,0.00002806661],"domain_scores_gemma":[0.9989187,0.0007977211,0.00007083507,0.00004403593,0.0001344539,0.00003429279],"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":[0.00002792773,0.00002459753,0.0001206918,0.00005633035,0.00001620015,0.0000210566,0.00003596059,0.9332187,0.0004727925,0.04658663,0.0008465701,0.01857265],"study_design_scores_gemma":[0.00000478921,0.000004142539,0.00001374241,0.000003522563,0.000001519185,0.000002899688,0.000003302311,0.9932088,0.00007240308,0.006324704,0.0003583204,0.000001784747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003619001,0.0003307306,0.9931937,0.0001515907,0.00003137523,0.00002736264,0.0000225984,0.00007939344,0.002544295],"genre_scores_gemma":[0.4698848,0.001428083,0.5129441,0.0001699202,0.0001906204,0.000703102,0.0001291841,0.0002299549,0.01432023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007010136,"threshold_uncertainty_score":0.01393867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008153038567637591,"score_gpt":0.2747977960089444,"score_spread":0.2666447574413068,"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."}}