{"id":"W4256519592","doi":"10.1145/2499368.2451124","title":"Power containers","year":2013,"lang":"en","type":"article","venue":"ACM SIGPLAN Notices","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Server; Multi-core processor; Cloud computing; Operating system; Power management; Efficient energy use; Power (physics); Power budget; Embedded system; Distributed computing; Power control","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":[0.0008280607,0.001072686,0.0005372495,0.0005559768,0.0007268137,0.002190648,0.002898699,0.0006697244,0.0359343],"category_scores_gemma":[0.003430504,0.0005998153,0.0005399861,0.0006918514,0.0006347199,0.003883733,0.002981774,0.001519514,0.01277577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00075746,"about_ca_system_score_gemma":0.001164359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002042266,"about_ca_topic_score_gemma":0.001881473,"domain_scores_codex":[0.9988455,0.0001343217,0.00008719997,0.0002340497,0.0004922705,0.0002067125],"domain_scores_gemma":[0.9976289,0.0003055609,0.0001432251,0.001229659,0.0005001337,0.0001926985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001732685,0.0003518878,0.007658638,0.0006802732,0.0001382206,0.0005493624,0.0007659123,0.03291731,0.03239875,0.09081741,0.3319378,0.5000517],"study_design_scores_gemma":[0.0001770014,0.0002834145,0.002880476,0.0001163288,0.00006845855,0.0005910753,0.0001985659,0.1934046,0.04043894,0.03067019,0.7310409,0.0001299647],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07279938,0.001320995,0.5287293,0.001518,0.001503243,0.001119885,0.00535654,0.2040322,0.1836203],"genre_scores_gemma":[0.6641684,0.001180834,0.1681514,0.00184419,0.0003969106,0.0009973543,0.01204537,0.02455099,0.1266645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0359343,"threshold_uncertainty_score":0.1202122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01080499698835507,"score_gpt":0.2213848371067874,"score_spread":0.2105798401184324,"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."}}