{"id":"W2086768946","doi":"10.1287/opre.49.1.145.11186","title":"Reducing Delay in Preemptive Repeat Priority Queues","year":2001,"lang":"en","type":"article","venue":"Operations Research","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Queue; Computer science; Computer network","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.003359283,0.00009910662,0.0001474553,0.0004546714,0.0004531345,0.0007434781,0.0008630985,0.00008115262,0.00004152319],"category_scores_gemma":[0.0006466453,0.00009307167,0.00003308714,0.001657942,0.00007327105,0.001387991,0.0003938458,0.0004987411,0.000292807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002909997,"about_ca_system_score_gemma":0.0004298321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007050264,"about_ca_topic_score_gemma":0.002972767,"domain_scores_codex":[0.9972451,0.0006704762,0.0003347438,0.0005569464,0.0006811958,0.0005114762],"domain_scores_gemma":[0.9982648,0.000210097,0.00001588445,0.000901437,0.0004881206,0.0001196088],"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":[0.00009542119,0.001387037,0.05148638,0.0001373495,0.0001163675,0.001697307,0.07004808,0.3113475,0.1443624,0.2829431,0.00583503,0.1305441],"study_design_scores_gemma":[0.0004754983,0.0001697727,0.01068878,0.0001977175,0.000001368356,0.0001649043,0.0008158123,0.977368,0.006492789,0.0006606997,0.002663533,0.0003011175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9165644,0.0002463932,0.05273084,0.002258857,0.0001608531,0.0007610389,0.000001060429,0.0001103816,0.02716619],"genre_scores_gemma":[0.9575207,0.00006972912,0.03851398,0.00001551776,0.0001153005,0.0001207598,0.000002932448,0.00001019002,0.003630838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6660205,"threshold_uncertainty_score":0.9995618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0850953309610087,"score_gpt":0.3990873863205907,"score_spread":0.313992055359582,"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."}}