{"id":"W4392412513","doi":"10.1109/swc57546.2023.10449312","title":"Profiling and Understanding CPU Power Management in Linux","year":2023,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Profiling (computer programming); Operating system; Computer science; Power management; Embedded system; Power (physics); Physics","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":[0.0002639655,0.00005027798,0.00005384607,0.0002161166,0.00005057579,0.00008616011,0.0001746662,0.00002057747,0.000002593096],"category_scores_gemma":[0.000005293712,0.00004659782,0.000009703184,0.0005392925,0.000009912091,0.0001180195,0.0002462278,0.00004283586,0.00001294353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003086421,"about_ca_system_score_gemma":0.000005644323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002388246,"about_ca_topic_score_gemma":0.000001271334,"domain_scores_codex":[0.9994708,0.00001714867,0.00009810294,0.0001878463,0.0000857779,0.0001403667],"domain_scores_gemma":[0.9997863,0.00002827103,0.00001645747,0.0001382636,0.000007067339,0.00002367885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001358565,0.00001251245,0.001619137,0.0000144311,0.000006659164,0.00003568269,0.0003997598,0.004925865,0.00002150528,0.9876169,0.001784292,0.003561917],"study_design_scores_gemma":[0.000189235,0.0000222992,0.001589516,0.00002775155,7.723249e-7,0.000002550543,0.0002512289,0.9605868,0.0003296496,0.03658265,0.0002862557,0.0001312264],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003852445,0.00001536864,0.9561512,0.0004930591,0.00005817978,0.00009900887,5.6112e-8,0.0007839556,0.03854665],"genre_scores_gemma":[0.7317063,0.00005595163,0.2673672,0.0001343424,0.000004110344,0.00000554358,6.240652e-7,0.000003569394,0.0007223705],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.955661,"threshold_uncertainty_score":0.1900204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04879196769259069,"score_gpt":0.2877854073728809,"score_spread":0.2389934396802902,"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."}}