{"id":"W4410859297","doi":"10.3390/electronics14112214","title":"A Systematic Review of Energy Efficiency Metrics for Optimizing Cloud Data Center Operations and Management","year":2025,"lang":"en","type":"review","venue":"Electronics","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Data center; Center (category theory); Computer science; Systematic review; Energy management; Systems engineering; Operations research; Data science; Industrial engineering; Operations management; Engineering management; Engineering; Energy (signal processing); Statistics; Mathematics; Operating system; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001405786,0.000341356,0.001708623,0.0004055231,0.0001617436,0.0001414841,0.002948606,0.00008361434,5.905932e-7],"category_scores_gemma":[0.0001967986,0.0002638064,0.0002734773,0.001385383,0.00002022278,0.00002700228,0.002435685,0.0001571645,0.000001090974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001420812,"about_ca_system_score_gemma":0.0002098579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001582766,"about_ca_topic_score_gemma":0.000002734883,"domain_scores_codex":[0.9971918,0.0002411521,0.001057209,0.0007784809,0.0003228843,0.0004085024],"domain_scores_gemma":[0.9968868,0.0003994932,0.0003942941,0.002178548,0.00008976705,0.00005105327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[1.575771e-7,0.00004887586,3.194558e-9,0.7933399,0.0002728935,0.000001397159,0.000006589917,0.00005300375,1.885235e-9,0.04237283,0.00114993,0.1627544],"study_design_scores_gemma":[0.00008572684,0.00004080182,1.328673e-9,0.4372089,0.001319446,0.000009069339,0.000001767887,0.02960059,8.84844e-8,0.00002532171,0.5315333,0.0001750431],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[6.508897e-9,0.6561558,0.3417484,0.00006201812,0.000163821,0.001470064,0.00001690254,0.00004202295,0.0003409817],"genre_scores_gemma":[1.313483e-7,0.9793509,0.01906817,0.0002270196,0.00003980239,0.0002331639,0.0001055149,0.00001782447,0.0009574753],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5303833,"threshold_uncertainty_score":0.9999814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02788429951933044,"score_gpt":0.3016171944021054,"score_spread":0.273732894882775,"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."}}