{"id":"W2149528364","doi":"10.1145/2072298.2072362","title":"Celerity","year":2011,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer network; Network topology; Testbed; Bandwidth (computing); Server; The Internet; Network congestion; Distributed computing; Network architecture; Session (web analytics); Network packet","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":[0.003507583,0.0008215577,0.0009315166,0.001458945,0.00229883,0.005466436,0.003485686,0.00205722,0.03652082],"category_scores_gemma":[0.01477605,0.0004585382,0.0007436742,0.001334822,0.002214594,0.007339695,0.006164959,0.003488623,0.00994496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00151186,"about_ca_system_score_gemma":0.002272486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001699826,"about_ca_topic_score_gemma":0.001857173,"domain_scores_codex":[0.9953052,0.001058512,0.0002444002,0.0009543708,0.001922382,0.0005151551],"domain_scores_gemma":[0.9915057,0.002051611,0.0005761795,0.003109745,0.00180707,0.0009497013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003676703,0.000112539,0.00126269,0.0003940186,0.0000306938,0.0004236689,0.0007898317,0.004422435,0.007520305,0.6620725,0.04309732,0.2795063],"study_design_scores_gemma":[0.00008757324,0.0002895254,0.0006970236,0.0001760484,0.0000387268,0.001772076,0.0003868824,0.02889504,0.008739446,0.13493,0.8239019,0.00008584331],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01891254,0.002936631,0.6456355,0.007086969,0.002614731,0.0004270436,0.0004078561,0.005893661,0.3160851],"genre_scores_gemma":[0.3606663,0.00394639,0.3586642,0.004918683,0.002083265,0.0008030769,0.001569438,0.002507414,0.2648411],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03652082,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03230071689167081,"score_gpt":0.1819692578702977,"score_spread":0.1496685409786269,"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."}}