{"id":"W2156460160","doi":"10.1109/iscas.2000.856409","title":"Optimization techniques for maximum power-efficiency of deep sub-micron CMOS digital circuits","year":2002,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"PMOS logic; NMOS logic; CMOS; Electronic circuit; Voltage; Transistor; Electrical engineering; Power (physics); Integrated injection logic; Electronic engineering; Low-power electronics; Digital electronics; Capacitive sensing; Materials science; Engineering; Pass transistor logic; Physics; Power consumption","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":[0.00009298904,0.0001776694,0.0001852696,0.0001639003,0.00003970393,0.00005200704,0.0001929905,0.0001117451,0.0002258522],"category_scores_gemma":[0.00002708889,0.0001724085,0.00006925114,0.0002724281,0.00003628372,0.0005068841,0.00001887648,0.00006984851,0.00003780703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006921981,"about_ca_system_score_gemma":0.000005256897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.912308e-7,"about_ca_topic_score_gemma":5.560556e-7,"domain_scores_codex":[0.9990575,0.000005087036,0.0003111562,0.0001763669,0.0001494731,0.0003004591],"domain_scores_gemma":[0.9995357,0.00004235214,0.00004334215,0.0002426867,0.00008343535,0.00005251034],"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":[0.00002261482,0.0006596725,0.0009101555,0.0007778959,0.0001532809,0.000008649835,0.00207133,0.5030912,0.1736978,0.001391099,0.0170309,0.3001855],"study_design_scores_gemma":[0.0003032637,0.0001830228,0.00002874206,0.0000263767,0.00001168172,0.000007806734,0.00003145519,0.6274919,0.370003,0.00006957337,0.001531376,0.0003117865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01969714,0.0002098244,0.9502108,0.00002075235,0.0001758146,0.0005482368,0.00001676907,0.0007806367,0.02834003],"genre_scores_gemma":[0.9882805,0.00006225958,0.01130395,0.00001776788,0.00003140459,0.00004727862,0.00001473928,0.00005656682,0.0001854989],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9685834,"threshold_uncertainty_score":0.7030615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007925196284896716,"score_gpt":0.1837298172663819,"score_spread":0.1758046209814851,"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."}}