{"id":"W2128701724","doi":"10.5555/2016802.2016811","title":"FPGA glitch power analysis and reduction","year":2011,"lang":"en","type":"article","venue":"International Symposium on Low Power Electronics and Design","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glitch; Field-programmable gate array; Power analysis; Dynamic demand; Overhead (engineering); Reduction (mathematics); Computer science; Power (physics); Routing (electronic design automation); Embedded system; Algorithm; Mathematics; Cryptography; Telecommunications; Physics","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":[0.0001994543,0.0001774901,0.0001653418,0.0002297497,0.0000508989,0.00006954634,0.0001284384,0.0001054044,0.0001441712],"category_scores_gemma":[0.000005839009,0.0001721411,0.00006649231,0.0001921081,0.00003434596,0.0001613159,0.00001899426,0.0001712104,0.000009695562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000092634,"about_ca_system_score_gemma":0.00001250945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001652996,"about_ca_topic_score_gemma":0.000002195879,"domain_scores_codex":[0.9991025,0.00002678734,0.0001978516,0.0002590599,0.0001799503,0.0002338786],"domain_scores_gemma":[0.9996389,0.0000284658,0.00003692097,0.0001541138,0.00006372527,0.00007783229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001362501,0.001142596,0.003591294,0.00008575941,0.009747904,0.0001190077,0.009259854,0.005753744,0.7468795,0.1662045,0.01456874,0.04128462],"study_design_scores_gemma":[0.001423107,0.002459063,0.008385971,0.00008856387,0.000603962,0.0002140806,0.0001407074,0.04625448,0.8976183,0.02581782,0.01522717,0.001766804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2843933,0.002185341,0.6505529,0.0003976501,0.0009178369,0.0006084323,0.0000259367,0.0009685455,0.05995009],"genre_scores_gemma":[0.9970212,0.000931687,0.001714341,0.00006343143,0.00003421698,0.00002745763,0.00000801381,0.00002650128,0.0001731691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7126279,"threshold_uncertainty_score":0.7019709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008595959861145907,"score_gpt":0.2098184135248162,"score_spread":0.2012224536636703,"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."}}