{"id":"W4234468666","doi":"10.1145/345063.339418","title":"AMVA techniques for high service time variability","year":2000,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Queue; Range (aeronautics); Fork–join queue; Service (business); Queueing theory; Residual; Algorithm; Computer network; Queue management system; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.009152749,0.0002490067,0.0004735376,0.0003681442,0.0002782909,0.00009986365,0.0006936861,0.0000847007,0.009142586],"category_scores_gemma":[0.005622659,0.0002264402,0.0001389696,0.004380971,0.00003064639,0.001723883,0.0001209098,0.0001366174,0.001958521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001301321,"about_ca_system_score_gemma":0.00004787045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002109042,"about_ca_topic_score_gemma":0.000002035653,"domain_scores_codex":[0.99783,0.00008433827,0.0006556134,0.0004680293,0.0006626641,0.0002993847],"domain_scores_gemma":[0.9966767,0.0004444988,0.000412219,0.001080837,0.001368592,0.00001718622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002801129,0.00007246547,0.0003648368,0.002864968,0.00003508651,1.353962e-7,0.000004495406,0.0007147581,0.00003941662,0.001515391,0.003433294,0.9909272],"study_design_scores_gemma":[0.000899211,0.00006025391,0.002586512,0.00232212,0.002351893,0.000002389716,0.000004996224,0.3100815,0.0003590017,0.04570687,0.634576,0.001049179],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.729057,0.05014213,0.0235177,0.03509576,0.001389816,0.03061962,0.00008269641,0.004344998,0.1257503],"genre_scores_gemma":[0.8045761,0.0493055,0.0502869,0.08174176,0.003913241,0.004425338,0.00210652,0.000273299,0.003371329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9898779,"threshold_uncertainty_score":0.9988186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0372671531187778,"score_gpt":0.3089885199601545,"score_spread":0.2717213668413767,"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."}}