{"id":"W2611739902","doi":"10.1145/3076113.3076117","title":"An analysis of memory power consumption in database systems","year":2017,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Memory management; Power consumption; Idle; Power (physics); Database; Database server; Memory map; Semiconductor memory; Operating system","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":[0.0005487525,0.00005764718,0.0001609167,0.0002730034,0.00009061307,0.0001625742,0.0009959347,0.00001974353,0.00001356306],"category_scores_gemma":[0.0000158507,0.00004740186,0.00004423067,0.0001565923,0.00003431741,0.00004214262,0.0003208991,0.00003973375,0.000009623413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001655116,"about_ca_system_score_gemma":0.000006151947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00124689,"about_ca_topic_score_gemma":0.0001525494,"domain_scores_codex":[0.999237,0.00005662708,0.0001783856,0.0002421175,0.0001732725,0.0001126248],"domain_scores_gemma":[0.9982411,0.0000272351,0.0001361012,0.001531325,0.00002349001,0.00004073656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001364538,0.0006326764,0.4244751,0.0001151365,0.0006181228,0.00009193301,0.002241872,0.4543495,0.001300978,0.09724516,0.0004758726,0.01844009],"study_design_scores_gemma":[0.0001136948,0.00001541624,0.1943032,0.00001464087,0.00002725484,4.286682e-7,0.00007323058,0.8052769,0.00005789915,0.000007052554,0.00005408196,0.00005625851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271553,0.00003725381,0.06864911,0.00007879329,0.0001711222,0.0000675602,0.000001393121,0.00004346345,0.003796009],"genre_scores_gemma":[0.9982626,0.0000011851,0.001384666,0.00002719733,0.00000927733,0.000001744008,0.000001528238,0.000001792972,0.0003099583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3509274,"threshold_uncertainty_score":0.1932992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02743208035446621,"score_gpt":0.2901204990745146,"score_spread":0.2626884187200484,"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."}}