{"id":"W4253914488","doi":"10.1145/2490301.2451124","title":"Power containers","year":2013,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Server; Computer science; Multi-core processor; Cloud computing; Power management; Operating system; Efficient energy use; Power (physics); Power budget; Embedded system; Distributed computing; Power control; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002601123,0.0003752196,0.0003483659,0.0002934058,0.0002355008,0.000524057,0.003882394,0.00008964702,0.00009250233],"category_scores_gemma":[0.00006980004,0.0002950887,0.0002119907,0.0005378976,0.00009847616,0.0000630398,0.003406353,0.000496399,0.0005574838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005520407,"about_ca_system_score_gemma":0.00004775892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001983038,"about_ca_topic_score_gemma":0.000009013,"domain_scores_codex":[0.9971297,0.0002069846,0.0003926913,0.000871568,0.0005850142,0.0008140014],"domain_scores_gemma":[0.9967484,0.0004485384,0.0001135281,0.002252317,0.0001144073,0.000322752],"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":[0.00000639172,0.0001230429,0.001005182,0.00002434748,0.0001159822,0.00006511641,0.003232833,0.009629266,0.0004499123,0.006916406,0.06218088,0.9162506],"study_design_scores_gemma":[0.00300189,0.001483628,0.02705693,0.0001847684,0.0000247825,0.000334001,0.0001389818,0.4231794,0.0005669341,0.06039064,0.4812699,0.002368122],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.165953,0.00009344359,0.8034358,0.02096857,0.0009031276,0.0006467104,5.962374e-7,0.000830137,0.007168619],"genre_scores_gemma":[0.757323,0.000001974198,0.2331895,0.008114839,0.0005312827,0.00005110324,0.000002418352,0.00003268553,0.0007532245],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9138825,"threshold_uncertainty_score":0.9999501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007417182075350998,"score_gpt":0.2169103768373817,"score_spread":0.2094931947620307,"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."}}