{"id":"W2112081353","doi":"10.1109/ccece.2000.849545","title":"A new self-organizing approach for congestion control in ATM networks","year":2002,"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":"Dalhousie University","funders":"","keywords":"Computer science; Network packet; Queueing theory; Queue; Computer network; Network congestion; FIFO (computing and electronics); Asynchronous Transfer Mode; Throughput; Set (abstract data type); Network switch; Packet switching; Distributed computing; Real-time computing","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":[0.0004666756,0.0004328922,0.0004546107,0.0005490881,0.0005287122,0.0007277983,0.001409178,0.0008143457,0.0009878182],"category_scores_gemma":[0.001116601,0.0002507403,0.0005385476,0.0004949796,0.0007302215,0.001276097,0.0006033041,0.0009154328,0.0001453332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00067978,"about_ca_system_score_gemma":0.0005730033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001978459,"about_ca_topic_score_gemma":0.00178408,"domain_scores_codex":[0.999655,0.00007986317,0.00001555267,0.00007235418,0.0001463048,0.00003077989],"domain_scores_gemma":[0.9997397,0.000109134,0.00002982598,0.0000240291,0.00007801766,0.00001923382],"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":[0.00004647301,0.00009678421,0.0005359446,0.0001170508,0.0000777333,0.0001196278,0.0001360575,0.7508264,0.006325247,0.1257471,0.002195361,0.1137763],"study_design_scores_gemma":[0.00000624676,0.00001946876,0.00005911468,0.000004417967,0.000007044551,0.00001841696,0.000005418714,0.9826377,0.0004381825,0.01526838,0.001529253,0.000006311708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006987915,0.0005141033,0.9896196,0.0002125525,0.00009874379,0.00003068189,0.00001959757,0.0001238164,0.002393108],"genre_scores_gemma":[0.5589479,0.00166706,0.4313327,0.0003969217,0.0006979079,0.0003539233,0.00008904446,0.00008262691,0.006431818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001978459,"threshold_uncertainty_score":0.004932165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01177117390623516,"score_gpt":0.1892249082438069,"score_spread":0.1774537343375717,"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."}}