{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01139206,0.001177079,0.002800722,0.001386589,0.0005863365,0.002221892,0.002646345,0.000605085,0.00002256952],"category_scores_gemma":[0.0008374011,0.001021074,0.0006304678,0.004206002,0.0001700686,0.001979203,0.0005084266,0.0003176248,0.001161995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001144563,"about_ca_system_score_gemma":0.001457593,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01402294,"about_ca_topic_score_gemma":0.00004614801,"domain_scores_codex":[0.9875727,0.003434054,0.002377586,0.002431436,0.002270883,0.001913399],"domain_scores_gemma":[0.9885555,0.002475885,0.001946742,0.003831285,0.001777913,0.001412681],"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":[0.005989123,0.001290909,0.009655625,0.002675231,0.01351867,0.001505568,0.009465713,0.4734877,0.4091317,0.02322328,0.04808848,0.001967976],"study_design_scores_gemma":[0.002323608,0.0009242642,0.0006445976,0.0007583239,0.0006130783,0.0005211986,0.0003350727,0.9845278,0.0006709295,0.00003922286,0.007019869,0.001622088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3289635,0.001417918,0.5865999,0.0006998352,0.003210984,0.008676131,0.0003897683,0.007395262,0.06264665],"genre_scores_gemma":[0.8391923,0.00003389949,0.05039344,0.0000373995,0.001724657,0.001370748,0.0003061873,0.0004341553,0.1065072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5362065,"threshold_uncertainty_score":0.9996157,"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."}}