{"id":"W4250011564","doi":"10.1109/isss.2001.957927","title":"Current consumption dynamics at instruction and program level for a VLIW DSP processor","year":2002,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Very long instruction word; Computer science; Digital signal processing; Computer architecture; Digital signal processor; Construct (python library); Energy consumption; Embedded system; Multi-core processor; Parallel computing; Computer hardware; Engineering; Electrical engineering","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":[0.0001662186,0.0003487165,0.0002838465,0.0007378145,0.0002788656,0.0004719469,0.0004341487,0.0002220125,0.002092611],"category_scores_gemma":[0.0007177725,0.0002312929,0.0002580394,0.0005031634,0.0004197766,0.0009293123,0.0002264158,0.0005630254,0.0005168917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000453319,"about_ca_system_score_gemma":0.0004209386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001117858,"about_ca_topic_score_gemma":0.001328531,"domain_scores_codex":[0.9998536,0.00001232134,0.000007053264,0.00002657329,0.00008887488,0.00001152792],"domain_scores_gemma":[0.999762,0.0001106988,0.00003568189,0.0000261252,0.00005804011,0.000007529176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002176203,0.0001087414,0.005021594,0.0003456392,0.00006674589,0.0002359166,0.0005522381,0.3154829,0.2861512,0.06956542,0.001492866,0.3207593],"study_design_scores_gemma":[0.000006828088,0.00009231987,0.001328699,0.00001344802,0.00001898626,0.000141444,0.00004062812,0.9522737,0.03271583,0.008862598,0.004490674,0.0000149819],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05323301,0.0003241223,0.9421442,0.00008574736,0.00001170157,0.00004526833,0.00007953997,0.0007317596,0.003344617],"genre_scores_gemma":[0.6659409,0.0008490437,0.3270787,0.00005945655,0.00002796917,0.0001723176,0.0002648207,0.0002880462,0.005318632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002092611,"threshold_uncertainty_score":0.007000446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06688769916289479,"score_gpt":0.3143566781090835,"score_spread":0.2474689789461887,"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."}}