{"id":"W2069919236","doi":"10.1145/2185395.2185398","title":"Sharp utilization thresholds for some realtime scheduling problems","year":2012,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Aperiodic graph; Workload; Scheduling (production processes); Power consumption; Schedule; Real-time computing; Context switch; Distributed computing; Embedded system; Power (physics); Mathematical optimization; Operating system; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01457685,0.0003240012,0.0005426026,0.0005438758,0.0003486817,0.0002174121,0.00156871,0.0001263506,0.00007521335],"category_scores_gemma":[0.005054066,0.0002928481,0.0001778261,0.003271319,0.00002672458,0.005337048,0.0003484257,0.0002068407,0.0003708146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003092607,"about_ca_system_score_gemma":0.0002972296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005559682,"about_ca_topic_score_gemma":3.971485e-7,"domain_scores_codex":[0.9957432,0.0002769775,0.001127824,0.0006011096,0.001505603,0.0007452487],"domain_scores_gemma":[0.9957564,0.0004811395,0.0007657021,0.001737934,0.001027716,0.0002311423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004870843,0.0001707407,0.01015629,0.007258707,0.00006163726,2.040558e-7,0.0003549123,0.005069948,0.0002738269,0.0123573,0.002237312,0.9620543],"study_design_scores_gemma":[0.0008630287,0.0001751127,0.005057427,0.003802723,0.0001956722,0.00003456088,0.00001093535,0.9663069,0.001024899,0.000999182,0.02085518,0.0006744027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03502572,0.4880033,0.4608473,0.002041925,0.002668536,0.009188783,0.000007296641,0.0005307419,0.001686408],"genre_scores_gemma":[0.7279027,0.08811738,0.1791834,0.001589063,0.0008525848,0.001950562,0.0001693906,0.00007365367,0.0001613072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9613798,"threshold_uncertainty_score":0.9999524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2117957622850598,"score_gpt":0.3839978270312978,"score_spread":0.1722020647462379,"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."}}