{"id":"W2611958927","doi":"10.4108/eai.25-10-2016.2266955","title":"Simulation Modeling for Speed Scaling Designs","year":2017,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Scaling; Computer science; Extensibility; Scheduling (production processes); Component (thermodynamics); Discrete event simulation; Speedup; Simulation; Parallel computing; Operating 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00116191,0.001121293,0.0007500012,0.0008037534,0.0005788949,0.001123248,0.001447131,0.001028352,0.006708869],"category_scores_gemma":[0.004655304,0.0005603494,0.0009346887,0.0006212199,0.0005207594,0.001458383,0.0008223381,0.00141845,0.001159058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00122182,"about_ca_system_score_gemma":0.001287253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004456792,"about_ca_topic_score_gemma":0.002408672,"domain_scores_codex":[0.9991319,0.0003143066,0.00005314527,0.000104903,0.000303441,0.00009236157],"domain_scores_gemma":[0.9981607,0.0009871814,0.000136016,0.0002659891,0.000390837,0.00005930306],"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":[0.00002555235,0.00002549566,0.0002937423,0.00005053714,0.0000160531,0.00003745597,0.00004323895,0.9665649,0.002478202,0.02380523,0.0006398417,0.006019754],"study_design_scores_gemma":[0.000006586321,0.00001284257,0.00004144743,0.000008795058,0.000005926776,0.00001242209,0.000004561689,0.992089,0.0008338807,0.004305607,0.002674632,0.00000420912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01628867,0.0003724812,0.9640505,0.0002548115,0.00010524,0.0001827702,0.0003028901,0.00114542,0.01729723],"genre_scores_gemma":[0.6439431,0.001861916,0.3342026,0.000297158,0.0001654399,0.0008838432,0.000704954,0.0008388382,0.01710209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006708869,"threshold_uncertainty_score":0.02244335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1178501097080522,"score_gpt":0.3281231512507542,"score_spread":0.210273041542702,"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."}}