{"id":"W2166076019","doi":"10.1109/glocom.1996.594350","title":"Global congestion control in hybrid ATM/TDMA networks","year":2002,"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":"École de Technologie Supérieure; Concordia University; Sonaca (Canada)","funders":"","keywords":"Computer network; Computer science; Network congestion; Quality of service; Asynchronous Transfer Mode; Network traffic control; Flow control (data); Bandwidth (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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002296779,0.00016588,0.0002158918,0.00004524037,0.00006815694,0.0001431252,0.000549236,0.00007225177,0.0001939973],"category_scores_gemma":[0.0000224296,0.0001531055,0.00006751731,0.000420959,0.00004122753,0.0003588179,0.00005615596,0.0001334654,0.0001888001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008490131,"about_ca_system_score_gemma":0.00001386271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003147968,"about_ca_topic_score_gemma":0.0001012537,"domain_scores_codex":[0.9985726,0.0001121149,0.0002868079,0.0004047971,0.0001929146,0.0004307205],"domain_scores_gemma":[0.9992372,0.0001218973,0.00006359444,0.0003885341,0.00005248145,0.0001362942],"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":[0.00001402925,0.000104264,0.008967626,0.000001566665,0.00001735527,0.00008651269,0.00001872063,0.08074485,0.000001106724,0.1112751,0.01843699,0.7803319],"study_design_scores_gemma":[0.001643061,0.00005537577,0.006059633,0.00001132452,0.00000532892,0.00004169879,0.000002882093,0.9871316,6.147916e-7,0.0006953109,0.004172328,0.0001808689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00372504,0.0008243877,0.9769483,0.003834085,0.0006637737,0.0002374835,0.000001635991,0.0003752383,0.0133901],"genre_scores_gemma":[0.9948888,0.00005320396,0.001504114,0.0026566,0.0001855357,0.00002916269,0.000001246797,0.000005268972,0.0006760017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9911638,"threshold_uncertainty_score":0.6243463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008016705478326587,"score_gpt":0.192562720107156,"score_spread":0.1845460146288294,"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."}}