{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00404212,0.001462594,0.002391131,0.001557424,0.001009347,0.002729698,0.001336153,0.002153091,0.00557356],"category_scores_gemma":[0.02070113,0.001099515,0.001137013,0.001001035,0.003047896,0.003699399,0.001841088,0.002766506,0.0004918522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004612759,"about_ca_system_score_gemma":0.00371248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006927883,"about_ca_topic_score_gemma":0.005230161,"domain_scores_codex":[0.9974642,0.001160845,0.00007565977,0.0003113173,0.0003801455,0.0006078857],"domain_scores_gemma":[0.9798044,0.01703948,0.001095368,0.0005672416,0.0009196472,0.0005738118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009188199,0.00007068889,0.0003260764,0.00005768348,0.00002841028,0.00004224554,0.00006191426,0.911475,0.0007999742,0.0826729,0.001262004,0.003111181],"study_design_scores_gemma":[0.00002069838,0.00002194733,0.00010314,0.0000214155,0.000009480802,0.00001142445,0.00003236383,0.9440839,0.0002249548,0.05511205,0.0003476954,0.00001101318],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1594796,0.00182741,0.8008022,0.004390608,0.0002047722,0.0002497949,0.0004159705,0.0004004249,0.03222916],"genre_scores_gemma":[0.9344222,0.001334859,0.05724029,0.0004570218,0.0001345901,0.0002199468,0.0001483737,0.0002084187,0.005834388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006927883,"threshold_uncertainty_score":0.03346807,"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."}}