{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007780656,0.000872854,0.0006114572,0.0004332002,0.0003070933,0.001094784,0.0005827401,0.0005005265,0.000834918],"category_scores_gemma":[0.002063889,0.0003360997,0.0003383048,0.0004318552,0.0007729385,0.0006733798,0.0006417001,0.0008019777,0.0001878275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008002067,"about_ca_system_score_gemma":0.0008313899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00466261,"about_ca_topic_score_gemma":0.002330784,"domain_scores_codex":[0.9993008,0.0002040244,0.00003492047,0.0001595238,0.0001996918,0.0001010753],"domain_scores_gemma":[0.9992419,0.000340444,0.0001559909,0.00004765804,0.0001835634,0.0000304049],"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":[0.00002621669,0.0000187053,0.0001714936,0.00004148797,0.0000104774,0.00001933248,0.00002485382,0.9813243,0.002650863,0.00383608,0.000193346,0.01168288],"study_design_scores_gemma":[0.000002242565,0.00001101301,0.00007436384,0.000002102253,0.000001616752,0.000002245688,0.000002645244,0.9988254,0.0003696008,0.0005875311,0.0001192186,0.000001947152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03705262,0.0008833428,0.9558508,0.0002740811,0.00006486474,0.00003411344,0.0000304374,0.0003290291,0.005480669],"genre_scores_gemma":[0.9790297,0.0004615701,0.01868797,0.00004932042,0.00003611581,0.00005575746,0.00002968302,0.00003557522,0.001614394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00466261,"threshold_uncertainty_score":0.009270906,"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."}}