{"id":"W2086023880","doi":"10.1109/qest.2012.35","title":"Decoupled Speed Scaling: Analysis and Evaluation","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Scaling; Scheduling (production processes); Computer science; Robustness (evolution); Speedup; Parallel computing; Control theory (sociology); Distributed computing; Mathematical optimization; Mathematics; Geometry","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":[0.003160348,0.00134725,0.0008528937,0.001278099,0.000639911,0.001064765,0.001484096,0.0007378982,0.002567557],"category_scores_gemma":[0.01576093,0.0003604689,0.0004143904,0.001282927,0.0009053745,0.002141591,0.00142696,0.0009180589,0.0003414449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001408607,"about_ca_system_score_gemma":0.001193943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003088751,"about_ca_topic_score_gemma":0.001532137,"domain_scores_codex":[0.9975715,0.0005945928,0.00008417007,0.0002344003,0.001230672,0.0002846028],"domain_scores_gemma":[0.9930041,0.003983742,0.0005803661,0.0009765652,0.001208086,0.0002470247],"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":[0.0007512927,0.0004502049,0.004682069,0.0002124211,0.00006760049,0.00009397373,0.00008747043,0.8602357,0.00947812,0.01498409,0.001783241,0.1071738],"study_design_scores_gemma":[0.00002189672,0.0001595515,0.0005754667,0.000007108309,0.00001411765,0.00003440727,0.00001833665,0.9938374,0.003054495,0.001793701,0.0004742598,0.000009193152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4874032,0.001861243,0.4878415,0.0004176589,0.0002027647,0.0005119524,0.0002398104,0.002973512,0.01854829],"genre_scores_gemma":[0.9549761,0.0003840765,0.04322626,0.0000491051,0.00004109612,0.0001032388,0.0001710871,0.0001314188,0.0009175138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003160348,"threshold_uncertainty_score":0.01671368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01365043805430383,"score_gpt":0.2591638100577509,"score_spread":0.245513372003447,"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."}}