{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001571587,0.0007095017,0.0006919103,0.0006202065,0.0006372216,0.0009633825,0.001831936,0.0007268753,0.001317198],"category_scores_gemma":[0.007600063,0.0003983676,0.0003568017,0.0006272478,0.0007410559,0.001749376,0.0009071978,0.0007921246,0.0003475422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594458,"about_ca_system_score_gemma":0.001738729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00375968,"about_ca_topic_score_gemma":0.002485886,"domain_scores_codex":[0.9988397,0.0002941868,0.00004013331,0.0001315153,0.0004668686,0.0002276423],"domain_scores_gemma":[0.9972218,0.001615564,0.0003201064,0.0002875337,0.0003887531,0.0001661742],"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":[0.0009473466,0.0003181795,0.001830273,0.0001392841,0.00005232885,0.000231153,0.0004070137,0.7870535,0.02671781,0.07638511,0.002141182,0.1037768],"study_design_scores_gemma":[0.00005978248,0.0002106689,0.0001449511,0.000006051929,0.00002319054,0.00006398359,0.00002868884,0.9711553,0.005073712,0.02189687,0.001322493,0.00001432372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2040622,0.001015638,0.7893608,0.0003939609,0.0001244264,0.00005535571,0.0000519979,0.001073195,0.003862449],"genre_scores_gemma":[0.9362708,0.0004434434,0.05968384,0.0001166104,0.00009813491,0.00004184554,0.0000452813,0.00007306614,0.003227058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00375968,"threshold_uncertainty_score":0.01156861,"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."}}