{"id":"W2155277639","doi":"10.1007/s11241-015-9239-7","title":"Response time analysis for fixed priority real-time systems with energy-harvesting","year":2015,"lang":"en","type":"article","venue":"Real-Time Systems","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Scheduling (production processes); Computation; Energy consumption; Energy (signal processing); Response time; Task (project management); Earliest deadline first scheduling; Monotonic function; Real-time computing; Mathematical optimization; Set (abstract data type); Dynamic priority scheduling; Algorithm; Mathematics; Rate-monotonic scheduling; Schedule; Engineering; Statistics; Operating 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":[0.003640581,0.001250113,0.001213236,0.001008801,0.0005322534,0.001561441,0.001688263,0.0008706321,0.005825049],"category_scores_gemma":[0.01210692,0.0004758539,0.0007860516,0.001050124,0.001050114,0.001482314,0.0008157647,0.001555535,0.0005187787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002377153,"about_ca_system_score_gemma":0.001814315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006603728,"about_ca_topic_score_gemma":0.002741642,"domain_scores_codex":[0.9980308,0.0005028126,0.00005879543,0.0002672178,0.0005164752,0.0006238635],"domain_scores_gemma":[0.9917818,0.006094747,0.0005679767,0.0003066678,0.0009519306,0.0002967383],"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":[0.0007467523,0.0001261563,0.0008606492,0.0002828897,0.00008703703,0.0001647476,0.0001596847,0.9398724,0.008495725,0.03049451,0.001595811,0.01711356],"study_design_scores_gemma":[0.000007639777,0.00002725651,0.0001516697,0.000004366278,0.0000104646,0.00001442021,0.00002393982,0.996256,0.0004160445,0.002984618,0.00009918135,0.000004418369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1503077,0.002070983,0.8359314,0.00112658,0.0002511468,0.0001295727,0.0001601409,0.0005078951,0.00951455],"genre_scores_gemma":[0.9822104,0.0004520669,0.01281182,0.0001251125,0.0001039842,0.00005184401,0.00006393027,0.0001251501,0.004055762],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006603728,"threshold_uncertainty_score":0.01948673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365917445607611,"score_gpt":0.2518750639337293,"score_spread":0.2282158894776532,"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."}}