{"id":"W2148488513","doi":"10.3233/jec-2009-0093","title":"Energy simulation of embedded XScale systems with XEEMU","year":2009,"lang":"en","type":"article","venue":"Journal of Embedded Computing","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nemzeti Kutatási és Technológiai Hivatal; Bundesministerium für Bildung und Forschung; Canadian Institute of Steel Construction","keywords":"Computer science; Energy (signal processing); Energy requirement; Operating system; Embedded system; Psychology; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002573885,0.0004160798,0.0005426565,0.0002274429,0.0003114328,0.000395615,0.0006706771,0.0003905657,0.002705391],"category_scores_gemma":[0.001015055,0.0002657832,0.0003482538,0.0004983634,0.0002486304,0.0004996056,0.0003954785,0.0004988273,0.000190285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003752307,"about_ca_system_score_gemma":0.0006435896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005031318,"about_ca_topic_score_gemma":0.003021624,"domain_scores_codex":[0.9998455,0.00003546066,0.00001020547,0.00001914866,0.00006652775,0.00002313879],"domain_scores_gemma":[0.9997153,0.0001423277,0.00002947418,0.00004485643,0.00005339018,0.00001470875],"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":[0.00008805453,0.00005288739,0.002024407,0.00008086574,0.00002877613,0.00009757546,0.0000939496,0.9787147,0.004610304,0.004379726,0.00107763,0.00875118],"study_design_scores_gemma":[0.00001160192,0.00002673097,0.0003992254,0.000002241974,0.000002666629,0.000008122368,0.000007784767,0.9972042,0.001299692,0.0004138779,0.0006202489,0.00000347426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8384273,0.0004567997,0.1368985,0.0003410673,0.00006779366,0.0001149277,0.001115828,0.002809266,0.01976851],"genre_scores_gemma":[0.9536257,0.0001983028,0.04260498,0.00004717773,0.00001257489,0.0001757532,0.0005112099,0.0001746893,0.002649538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005031318,"threshold_uncertainty_score":0.01000404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01365536086338636,"score_gpt":0.2678633112525586,"score_spread":0.2542079503891722,"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."}}