{"id":"W1874450078","doi":"10.1109/ipds.1996.540196","title":"Mean value analysis for computer systems with variabilities in workload","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Austrian Science Fund","keywords":"Histogram; Computer science; Percentile; Queueing theory; Algorithm; Interval (graph theory); Workload; Data mining; Artificial intelligence; Mathematics; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.0004830328,0.0001629457,0.000377757,0.0006017954,0.00009312511,0.0001551194,0.0001832477,0.00004347701,0.0002747438],"category_scores_gemma":[0.00003502699,0.0001248767,0.0001354531,0.001739897,0.00004409576,0.0006522228,0.00005202731,0.00006478244,0.00005350829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004040114,"about_ca_system_score_gemma":0.000002085423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004559393,"about_ca_topic_score_gemma":0.0005163388,"domain_scores_codex":[0.9989477,0.00001733627,0.0002833556,0.0003290215,0.0001607554,0.0002618003],"domain_scores_gemma":[0.9992287,0.0001973747,0.0001349676,0.0003161402,0.0001138643,0.000008915948],"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":[0.00003779602,0.00008873715,0.02579437,0.0001192355,0.0005671544,0.000004552093,0.0001071944,0.7841671,0.000004422644,0.1872763,0.0004993726,0.001333806],"study_design_scores_gemma":[0.0004603349,0.00001058813,0.0008011789,0.00004905089,0.0006874735,4.102568e-7,0.0004528091,0.9886822,0.000003373374,0.003376974,0.005212202,0.0002633644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08241472,0.0002273704,0.8870914,0.0004442681,0.000223221,0.0005439183,0.000002067616,0.0002970895,0.02875597],"genre_scores_gemma":[0.9907883,0.000003310312,0.005952651,0.0004940828,0.0006481339,0.00005908352,0.00001024938,0.000020582,0.00202359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9083736,"threshold_uncertainty_score":0.5092323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603380866836187,"score_gpt":0.2046581603015198,"score_spread":0.1886243516331579,"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."}}