{"id":"W2124620058","doi":"10.1145/500001.500032","title":"Current consumption dynamics at instruction and program level for a <i>VLIW</i> DSP processor","year":2001,"lang":"en","type":"article","venue":"","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Very long instruction word; Computer science; Digital signal processing; Construct (python library); Digital signal processor; Computer architecture; Energy consumption; Multi-core processor; Instruction set; Embedded system; Parallel computing; Computer hardware; Programming language; Electrical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001237847,0.00008872418,0.00007850952,0.00008775965,0.00023177,0.0001355405,0.0001306228,0.00002467926,0.00001125389],"category_scores_gemma":[0.000008419081,0.00007969542,0.00003424736,0.0002310807,0.00004532288,0.0003417585,0.0000905959,0.00004474595,0.000002593508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004893836,"about_ca_system_score_gemma":0.00002228205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001999312,"about_ca_topic_score_gemma":0.0009473065,"domain_scores_codex":[0.9992514,0.00001179035,0.0001701791,0.0002598355,0.0001204956,0.0001862499],"domain_scores_gemma":[0.9996121,0.0000266031,0.00006162666,0.0001455964,0.00009495945,0.00005910622],"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":[0.00001263247,0.0001117202,0.0251137,0.00005730362,0.000006977436,3.111146e-7,0.0002423528,0.000001181806,0.00003085975,0.1361051,0.0002988183,0.838019],"study_design_scores_gemma":[0.005192325,0.000668208,0.09264733,0.00006248097,0.00004454164,0.0002825543,0.0002379721,0.7344351,0.0005234599,0.04649489,0.1186568,0.0007542864],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4574302,0.00009902408,0.541189,0.0003352398,0.0001690058,0.0005664075,0.00001405865,0.0001305612,0.0000665034],"genre_scores_gemma":[0.8694749,0.000738537,0.1290736,0.0001263334,0.00004419468,0.0003955867,0.00007967648,0.000007595099,0.00005960819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8372647,"threshold_uncertainty_score":0.3249885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06364031316532669,"score_gpt":0.3506929967098011,"score_spread":0.2870526835444744,"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."}}