{"id":"W1971438357","doi":"10.1016/s0166-5316(02)00232-8","title":"A preemptive resume queue with an expiry time for retained service","year":2003,"lang":"en","type":"article","venue":"Performance Evaluation","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Queue; Preemption; Computer science; Task (project management); Service (business); Flow (mathematics); Event (particle physics); Mathematics; Computer network; Physics; Engineering; Operating system","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":[0.00214023,0.0001647697,0.0001665796,0.0001744559,0.0002780232,0.00009677922,0.0001467036,0.00005067539,0.0003614953],"category_scores_gemma":[0.0003006181,0.0001423496,0.00003535615,0.0006047417,0.0000261693,0.002822177,0.0000194503,0.0000739594,0.0002398358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008035107,"about_ca_system_score_gemma":0.00005443365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001838087,"about_ca_topic_score_gemma":0.00007872818,"domain_scores_codex":[0.9987964,0.00004962453,0.0002118749,0.000325402,0.0003786082,0.0002380719],"domain_scores_gemma":[0.9984761,0.00004863243,0.0002493589,0.0003396448,0.000873796,0.00001244548],"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":[0.009536048,0.001075405,0.02728895,0.001767392,0.0007834339,0.00000505215,0.004711085,0.7307923,0.01517446,0.06239275,0.002251843,0.1442212],"study_design_scores_gemma":[0.001347019,0.00008699278,0.002252434,0.00006562038,0.0003174751,0.00000128306,0.0002961539,0.9838548,0.0008625378,0.007133938,0.003484336,0.0002974282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859866,0.00002241545,0.004962082,0.0002602453,0.00006117809,0.0008217503,0.000001564229,0.0001266721,0.00775742],"genre_scores_gemma":[0.9951136,0.000001803547,0.002851767,0.0007819405,0.0003270259,0.00025627,0.0001682952,0.00003470063,0.0004646217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2530624,"threshold_uncertainty_score":0.5804847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03054012263118326,"score_gpt":0.2756305327288212,"score_spread":0.2450904100976379,"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."}}