{"id":"W2101445737","doi":"10.1109/icmcs.2011.5945657","title":"An algorithm for reducing leakage power dissipation in combinational digital designs using dual threshold voltages","year":2011,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Dissipation; Leakage power; Voltage; Leakage (economics); Threshold voltage; CMOS; Computer science; Low-power electronics; Combinational logic; Electronic engineering; Power (physics); Algorithm; Digital electronics; Integer programming; Logic gate; Mathematical optimization; Engineering; Mathematics; Electrical engineering; Transistor; Electronic circuit; Power consumption; 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":[0.0002017743,0.0001944358,0.0001637903,0.0002391742,0.00007407409,0.00009994418,0.0001348193,0.0001042429,0.0001315463],"category_scores_gemma":[0.00001326237,0.0001944223,0.00004435271,0.0002079655,0.00003448867,0.001749333,0.00001764835,0.000121333,0.00001217258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001419306,"about_ca_system_score_gemma":0.00003025649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002212253,"about_ca_topic_score_gemma":0.000005958721,"domain_scores_codex":[0.9989309,0.000009237546,0.0002997489,0.0002335767,0.0001900149,0.0003364684],"domain_scores_gemma":[0.9995836,0.000039646,0.00003385641,0.0002030188,0.00005926405,0.00008063583],"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":[0.0002022143,0.003739016,0.08030933,0.0005073355,0.0005963785,0.0001864762,0.03542347,0.2696765,0.2888691,0.02588064,0.00535509,0.2892544],"study_design_scores_gemma":[0.0008063858,0.0001761377,0.02056427,0.00004068702,0.00001167735,0.000009838511,0.000257383,0.9539235,0.02304403,0.0007204711,0.00004502893,0.0004005967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5861405,0.00002574878,0.4104979,0.000003769123,0.000322886,0.0003007478,0.00002600684,0.000245647,0.002436797],"genre_scores_gemma":[0.9690655,0.000002208551,0.03060979,0.00001212303,0.00005879125,0.00003590699,0.00006250529,0.00005912213,0.00009398505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.684247,"threshold_uncertainty_score":0.792831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04428809074252067,"score_gpt":0.2558467360140006,"score_spread":0.2115586452714799,"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."}}