{"id":"W2077288229","doi":"10.1109/tetc.2013.2274042","title":"Scheduling Co-Design for Reliability and Energy in Cyber-Physical Systems","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computing","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Energy consumption; Scheduling (production processes); Heuristics; Cyber-physical system; Reliability (semiconductor); Reliability engineering; Dynamic voltage scaling; Energy management; Energy (signal processing); Real-time computing; Distributed computing; Mathematical optimization; Power (physics); 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":[],"consensus_categories":[],"category_scores_codex":[0.0009721763,0.000229918,0.0003837056,0.0003184516,0.0002168671,0.0002622561,0.000432444,0.0001171817,0.000001347715],"category_scores_gemma":[0.00003470813,0.0002425642,0.00008157304,0.000468591,0.00004402566,0.000503912,0.000009694285,0.0003452378,0.000005296652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000182006,"about_ca_system_score_gemma":0.00006091439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00119793,"about_ca_topic_score_gemma":0.00002439313,"domain_scores_codex":[0.9977269,0.0002756559,0.0005986184,0.0006703714,0.0002493955,0.0004790941],"domain_scores_gemma":[0.9982573,0.0009364863,0.0001289626,0.0004900892,0.00009271524,0.00009440717],"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":[0.000004787802,0.0001066441,0.0001640412,0.00007911777,0.00001083717,0.000003131907,0.001212612,0.953137,0.0006071531,0.003469131,0.000008930823,0.04119665],"study_design_scores_gemma":[0.0004734483,0.00006607334,0.0002274756,0.0002229659,0.000003709979,0.00000919342,0.0001575897,0.9953912,0.001750642,0.001386209,0.00007268482,0.0002387604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1898377,0.00004180121,0.8083567,0.0003189989,0.0007975915,0.0003666751,6.488042e-7,0.000125414,0.0001544187],"genre_scores_gemma":[0.8997923,0.000006794055,0.0998353,0.00003783525,0.0001503196,0.00009536367,3.856418e-7,0.00001918952,0.00006249711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7099546,"threshold_uncertainty_score":0.9891483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02622107456477722,"score_gpt":0.2829032067352962,"score_spread":0.256682132170519,"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."}}