{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006125584,0.0004539352,0.0003679984,0.0005541138,0.0003292748,0.0008577986,0.0004868753,0.000314626,0.0008274466],"category_scores_gemma":[0.000914327,0.0002123311,0.0003030179,0.0004269813,0.0007405924,0.001057588,0.0004850862,0.0003926354,0.00006631399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008126887,"about_ca_system_score_gemma":0.0004332433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002480524,"about_ca_topic_score_gemma":0.001995815,"domain_scores_codex":[0.9997296,0.00006732945,0.000007800738,0.00004524115,0.00009551154,0.00005468622],"domain_scores_gemma":[0.9996787,0.0001535568,0.00004510401,0.00002282963,0.00007484947,0.00002502853],"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":[0.0001233788,0.00002172593,0.0009731845,0.00006619853,0.00004871799,0.0001330051,0.00005890768,0.9040145,0.005477741,0.05015359,0.0008762571,0.03805283],"study_design_scores_gemma":[0.00000830894,0.00004127313,0.0002812655,0.000004282888,0.00001957593,0.00003177285,0.0000133468,0.9846804,0.0006639461,0.01348787,0.0007590186,0.0000089346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1474919,0.003457698,0.8420908,0.000169733,0.0001362174,0.00004788474,0.0000524354,0.0003664823,0.006186909],"genre_scores_gemma":[0.9866948,0.000553114,0.01114826,0.00002229433,0.000061356,0.00002856322,0.00002143745,0.0000265129,0.001443532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002480524,"threshold_uncertainty_score":0.005896509,"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."}}