{"id":"W2100137399","doi":"10.1109/icc.1991.162361","title":"PDF based congestion control in ATM networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Network congestion; Computer science; Computer network; Bandwidth (computing); Service (business); Probability density function; Network traffic control; Carry (investment); Mathematics; Statistics","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":[0.00138672,0.0005247206,0.0006939648,0.00120264,0.0006733718,0.001547972,0.0010171,0.0008983972,0.002996401],"category_scores_gemma":[0.005754305,0.0004093791,0.0003931421,0.001033121,0.00112549,0.002225924,0.000778162,0.001132829,0.0003887135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001716304,"about_ca_system_score_gemma":0.0008590082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004005829,"about_ca_topic_score_gemma":0.001951739,"domain_scores_codex":[0.9992316,0.0001900763,0.00004132165,0.0001193578,0.0003409658,0.00007672515],"domain_scores_gemma":[0.9983675,0.00102584,0.0001011636,0.0001016188,0.0003374659,0.00006650401],"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":[0.000241278,0.00008135181,0.0006170662,0.0001699046,0.00004227973,0.0001667948,0.0001246966,0.6018184,0.003543342,0.2266837,0.01037014,0.1561409],"study_design_scores_gemma":[0.0000206997,0.00003376483,0.0001673051,0.00001479599,0.00001143756,0.00005049085,0.000008376245,0.9368994,0.001155156,0.05793572,0.003686165,0.00001674785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01053168,0.002497209,0.9783611,0.0005117005,0.0004775953,0.00004582513,0.00009182843,0.0008089318,0.006674105],"genre_scores_gemma":[0.831645,0.004638343,0.1478584,0.0003982064,0.0008911668,0.0001798686,0.0002126028,0.0001860193,0.01399027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004005829,"threshold_uncertainty_score":0.01245272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00860308999559746,"score_gpt":0.1788633949203429,"score_spread":0.1702603049247455,"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."}}