{"id":"W2765340072","doi":"","title":"Large deviations of queues under qos scheduling algorithms","year":2006,"lang":"en","type":"article","venue":"Allerton Conference on Communication, Control, and Computing","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Queue; Computer science; Scheduling (production processes); Queueing theory; Fork–join queue; Mathematical optimization; Distributed computing; Algorithm; Real-time computing; Queue management system; Mathematics; Computer network","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":[0.006881913,0.001283111,0.001593531,0.0008572441,0.0007041721,0.00267167,0.00189992,0.001916412,0.001205187],"category_scores_gemma":[0.03227393,0.0008644612,0.0005816593,0.001076322,0.002545477,0.002728698,0.001919653,0.002184092,0.0001729686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002998506,"about_ca_system_score_gemma":0.002534986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00395679,"about_ca_topic_score_gemma":0.00199907,"domain_scores_codex":[0.9964442,0.001732754,0.0001516839,0.0005502417,0.0006955919,0.0004255496],"domain_scores_gemma":[0.9754112,0.01880918,0.002492338,0.0007740514,0.001547088,0.0009661516],"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":[0.000108022,0.00003374646,0.0003981714,0.00002306982,0.00002506458,0.00002466185,0.00003805417,0.9508996,0.0005013634,0.04418659,0.00037431,0.003387342],"study_design_scores_gemma":[0.00002262746,0.00001569618,0.00006200565,0.000002408874,0.000003804778,0.000003213393,0.000005670464,0.981795,0.0001171476,0.01791041,0.00005753044,0.000004375127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1253052,0.0006754578,0.8677855,0.001904411,0.0001536886,0.0000681532,0.00009805146,0.0003446274,0.003664922],"genre_scores_gemma":[0.9663187,0.0004183693,0.02978725,0.000260853,0.0001972625,0.0001237569,0.00009341812,0.00008171279,0.002718662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006881913,"threshold_uncertainty_score":0.03639543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01868841731715416,"score_gpt":0.2545301436818937,"score_spread":0.2358417263647395,"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."}}