{"id":"W2168550848","doi":"10.1145/363647.363659","title":"Adversarial queuing theory","year":2001,"lang":"en","type":"article","venue":"Journal of the ACM","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":274,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Queueing theory; Probabilistic logic; Computer science; Adversarial system; Fair queuing; Network packet; Routing (electronic design automation); Mathematical optimization; Distributed computing; Computer network; Artificial intelligence; Quality of service; Mathematics","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":[0.002067583,0.001133239,0.0009769757,0.0009800751,0.001026356,0.002164227,0.002223433,0.002068064,0.004368764],"category_scores_gemma":[0.008233792,0.0004429543,0.0009128402,0.001046623,0.00313169,0.003792701,0.00222125,0.002838732,0.0007820104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001907866,"about_ca_system_score_gemma":0.001181984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002797868,"about_ca_topic_score_gemma":0.001147456,"domain_scores_codex":[0.9980838,0.0006629736,0.00006923823,0.0003258961,0.0005748646,0.0002831402],"domain_scores_gemma":[0.9954118,0.002929593,0.0005896238,0.0004010744,0.0004185431,0.0002493954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001700411,0.0000185301,0.0003115771,0.00004104634,0.00003259057,0.00008619502,0.00007914696,0.2039317,0.0005058268,0.7880323,0.00183201,0.005112081],"study_design_scores_gemma":[0.000007059356,0.00003321754,0.0001082981,0.00001203198,0.00001212174,0.00004825796,0.00002317295,0.5855978,0.0001919365,0.4098574,0.004092102,0.00001662182],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008077824,0.0006804004,0.9752727,0.001358457,0.0002922082,0.00004800205,0.0001366707,0.0001039138,0.01402982],"genre_scores_gemma":[0.8774977,0.003921445,0.09194903,0.001228355,0.00150818,0.0003243261,0.000255154,0.0000873979,0.02322835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004368764,"threshold_uncertainty_score":0.01461494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0146418859724814,"score_gpt":0.2381502043533885,"score_spread":0.2235083183809072,"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."}}