{"id":"W2096228469","doi":"10.1109/fpl.2008.4629909","title":"Fast toggle rate computation for FPGA circuits","year":2008,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Stratix; Field-programmable gate array; Benchmark (surveying); Electronic circuit; Scalability; Routing (electronic design automation); Key (lock); Logic gate; Computation; Electronic engineering; Computer engineering; Algorithm; Computer hardware; Embedded system; 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":[0.0003995464,0.0009509375,0.0005408744,0.001688369,0.0003524858,0.0008099836,0.0007822351,0.0003313844,0.002743603],"category_scores_gemma":[0.002852404,0.0003644064,0.0003776097,0.0006637625,0.0002526811,0.001049558,0.0004527707,0.0005361535,0.000543177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008082003,"about_ca_system_score_gemma":0.0006591851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0036248,"about_ca_topic_score_gemma":0.005281409,"domain_scores_codex":[0.999478,0.00007286607,0.00002656508,0.00008001315,0.000302676,0.00003993972],"domain_scores_gemma":[0.9991875,0.0003258125,0.000144837,0.0001443421,0.0001661921,0.00003126647],"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":[0.0004555332,0.00006828656,0.003688208,0.000220425,0.0000793421,0.0001682393,0.0001382823,0.2975484,0.08541821,0.01627056,0.003161124,0.5927835],"study_design_scores_gemma":[0.00002108079,0.0000931145,0.0009188749,0.00001976187,0.00001220705,0.0001212904,0.00001929606,0.9650703,0.0281476,0.002651671,0.002901344,0.00002334704],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02117199,0.0002145163,0.9751212,0.00003093346,0.00003002838,0.00003313192,0.00007089429,0.002224203,0.001103008],"genre_scores_gemma":[0.3726448,0.0003010546,0.6239519,0.00004353501,0.0000347093,0.00006819455,0.0002332871,0.0002929232,0.002429769],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0036248,"threshold_uncertainty_score":0.009178281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02122307111279909,"score_gpt":0.2125256284221398,"score_spread":0.1913025573093408,"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."}}