{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002497218,0.0001312969,0.0001732947,0.00008089624,0.00005724146,0.0001031482,0.0004119245,0.00009117616,0.0009251283],"category_scores_gemma":[0.00002095479,0.0001194485,0.00005554289,0.0003705443,0.0000307662,0.0002539823,0.0000229567,0.0001673978,0.000600126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003594388,"about_ca_system_score_gemma":0.00001334475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001202293,"about_ca_topic_score_gemma":0.00005167901,"domain_scores_codex":[0.9988323,0.0001132975,0.0002350878,0.0003186169,0.0001688664,0.0003318727],"domain_scores_gemma":[0.999212,0.0002445123,0.00005193356,0.0003444584,0.00004402258,0.0001030536],"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":[0.00001684696,0.0001543121,0.004724169,0.000002619897,0.00001224324,0.00004729167,0.00003331335,0.2668835,0.00001177993,0.04845396,0.01452748,0.6651325],"study_design_scores_gemma":[0.001896852,0.00005039583,0.002651168,0.00001250829,0.000003755809,0.000003844271,0.000002074748,0.9883952,0.000002439027,0.0001213847,0.006713452,0.0001469411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008905483,0.0003209408,0.9785735,0.005219602,0.0003877912,0.0002098388,2.307991e-7,0.0002583065,0.01413925],"genre_scores_gemma":[0.9905291,0.00001594214,0.002809025,0.004392259,0.000114751,0.00003795002,9.008848e-7,0.000005684344,0.002094446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9896385,"threshold_uncertainty_score":0.9999881,"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."}}