{"id":"W2527875214","doi":"10.1145/3003977.3003997","title":"An Emergency Demand Response Mechanism for Cloud Computing","year":2016,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Cloud computing; Provisioning; Server; Computer science; Demand response; Data center; Resource (disambiguation); Distributed computing; Electricity; Database; Operating system; Computer network; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006523492,0.000218314,0.0002874053,0.0003283905,0.0001306404,0.00001891033,0.0004975121,0.00006367799,0.0003348926],"category_scores_gemma":[0.002921873,0.0001701419,0.00009409931,0.001087066,0.00001091561,0.0003867078,0.00007044299,0.00006408307,0.0001298291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002332439,"about_ca_system_score_gemma":0.00003431179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.214903e-7,"about_ca_topic_score_gemma":7.61447e-7,"domain_scores_codex":[0.9979612,0.000188169,0.0006148826,0.0002995357,0.0005998516,0.0003363942],"domain_scores_gemma":[0.9980962,0.0003365434,0.0001323592,0.0008897493,0.0004483022,0.00009679246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005590886,0.00005728196,0.001286543,0.003183228,0.0001245349,6.820374e-7,0.00007524378,0.04990683,0.003313452,0.002169047,0.0262617,0.9135656],"study_design_scores_gemma":[0.001375127,0.0003791988,0.009957084,0.001989309,0.000394871,0.000004342742,0.00001136453,0.9290528,0.004253392,0.001142894,0.05069369,0.0007459043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4632222,0.03168179,0.4972063,0.0008012101,0.003847705,0.002322815,0.00001152129,0.0004900204,0.0004164478],"genre_scores_gemma":[0.8860509,0.1062404,0.006496745,0.0003008866,0.0003963005,0.0003279531,0.00002594552,0.00006292314,0.00009800623],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9128196,"threshold_uncertainty_score":0.6938183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05335342038652188,"score_gpt":0.3245248779711337,"score_spread":0.2711714575846119,"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."}}