{"id":"W2059819813","doi":"10.1109/mascots.2013.11","title":"On Optimal Policies for Energy-Aware Servers","year":2013,"lang":"en","type":"article","venue":"","topic":"Green IT and Sustainability","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Leverage (statistics); Server; Computer science; Energy (signal processing); Routing (electronic design automation); Range (aeronautics); Computer network; Mathematical optimization; Distributed computing; Engineering; Mathematics; Artificial intelligence","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":[0.000022252,0.00007026979,0.00006598979,0.0000279529,0.00002774798,0.00002230192,0.00006166695,0.00003768782,0.0002948015],"category_scores_gemma":[0.000006762663,0.00005879253,0.00004399437,0.00003963375,0.00001075598,0.00007566367,0.000009620614,0.00002653861,0.00002714172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004355651,"about_ca_system_score_gemma":0.000005391777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004574732,"about_ca_topic_score_gemma":0.00005256987,"domain_scores_codex":[0.9996454,0.000002885791,0.00006517713,0.0000662452,0.00004335115,0.0001769382],"domain_scores_gemma":[0.9997581,0.00003621347,0.000003520892,0.0001170134,0.00004078905,0.00004437206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003690155,0.0001194224,0.004178276,0.000555011,0.0001500102,0.000003819657,0.001498344,0.2036351,0.0007831287,0.2019189,0.533271,0.05385013],"study_design_scores_gemma":[0.000951207,0.0002798341,0.01020448,0.00001302642,0.00001458462,0.000001998903,0.002862952,0.9081832,0.01028279,0.01992776,0.04662313,0.0006550116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476016,0.0000132361,0.03425715,0.0003588267,0.0001205795,0.0001738147,0.000004498228,0.0003493658,0.01712091],"genre_scores_gemma":[0.9963443,0.000001117169,0.0004597009,0.0001173464,0.00003343364,0.00006045715,0.000004255975,0.00001235625,0.002967037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7045482,"threshold_uncertainty_score":0.322787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005385977366517239,"score_gpt":0.1917530254155197,"score_spread":0.1863670480490024,"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."}}