{"id":"W1987581179","doi":"10.1109/tac.2013.2286756","title":"Energy-Aware Scheduling on Heterogeneous Processors","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Server; Scheduling (production processes); Distributed computing; Real-time computing; Mathematical optimization; Computer network; Mathematics","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":[0.0008482852,0.0005063127,0.0009636653,0.0004269331,0.0007780434,0.001343754,0.001101445,0.0006445023,0.001416084],"category_scores_gemma":[0.002820425,0.0003853988,0.0003248791,0.0008841972,0.0008283681,0.001504166,0.001085738,0.0006801919,0.0001987876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001124512,"about_ca_system_score_gemma":0.0007732309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004925053,"about_ca_topic_score_gemma":0.004146175,"domain_scores_codex":[0.999375,0.0001763264,0.00002700679,0.0001004961,0.0001164683,0.0002046423],"domain_scores_gemma":[0.9986847,0.0006508277,0.0002176079,0.0001146143,0.0001447131,0.0001875057],"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":[0.0001083658,0.00004142047,0.000557728,0.00001466039,0.00001326195,0.0001236863,0.00002736656,0.9848801,0.00175225,0.008796462,0.0002229342,0.003461698],"study_design_scores_gemma":[0.00001234222,0.00002121133,0.0002584463,0.00000139546,0.000004830186,0.00001197084,0.00002342419,0.9953492,0.0002958691,0.003892694,0.0001248202,0.000003728832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7188162,0.0006631691,0.2696205,0.0006089925,0.00007134514,0.00005444174,0.00008721754,0.000195384,0.009882681],"genre_scores_gemma":[0.9931184,0.0001116009,0.005417264,0.00002835504,0.00002103647,0.00001327439,0.00001872671,0.00001479546,0.001256538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004925053,"threshold_uncertainty_score":0.009792745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008826034222911944,"score_gpt":0.2157817414237364,"score_spread":0.2069557072008244,"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."}}