{"id":"W2243986521","doi":"10.1561/1000000042","title":"Utilization Control and Optimization of Real-Time Embedded Systems","year":2015,"lang":"en","type":"article","venue":"Foundations and Trends® in Electronic Design Automation","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Workload; Overhead (engineering); Correctness; Identification (biology); Model predictive control; Real-time computing; Optimal control; Distributed computing; Control (management); Embedded 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":[0.001402693,0.000142872,0.0002495706,0.0005472508,0.00008437614,0.0002433195,0.0001478066,0.00009047786,0.000006477994],"category_scores_gemma":[0.00009517966,0.0001449611,0.00002023708,0.0008537865,0.0000369192,0.001226884,0.00002690168,0.00007054807,0.000005826443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001804598,"about_ca_system_score_gemma":0.00018493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000173804,"about_ca_topic_score_gemma":0.00001439231,"domain_scores_codex":[0.9982514,0.0004374784,0.0004942281,0.0003139587,0.0002479276,0.0002549985],"domain_scores_gemma":[0.9989975,0.0001615064,0.0003108672,0.0002626922,0.0001931565,0.00007429422],"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":[0.00003253102,0.0001066462,0.000252372,0.00004816318,0.00005490715,0.00000158317,0.001875931,0.8334309,0.001952256,0.1121002,0.0001660012,0.04997853],"study_design_scores_gemma":[0.001068661,0.0001512834,0.0008473506,0.00004010039,0.00001710385,0.00002603613,0.00006151957,0.9962414,0.0000946986,0.001295139,0.00002879139,0.0001279263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007192454,0.0003377645,0.990846,0.000103633,0.00009242634,0.0003591705,0.000001689754,0.0001624473,0.000904375],"genre_scores_gemma":[0.9583775,0.00007419195,0.04126208,0.000004732758,0.00002147707,0.00005908306,0.00005377047,0.00001251334,0.0001346071],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9511851,"threshold_uncertainty_score":0.5911343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03377143376736692,"score_gpt":0.2799369957138257,"score_spread":0.2461655619464588,"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."}}