{"id":"W2022266980","doi":"10.1016/j.mejo.2006.03.009","title":"Low-power multi-threshold MCML: Analysis, design, and variability","year":2006,"lang":"en","type":"article","venue":"Microelectronics Journal","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"CMOS; Electronic engineering; Dissipation; Power (physics); Electronic circuit; Current-mode logic; Integrated circuit design; Circuit design; Threshold voltage; Computer science; Low-power electronics; Engineering; Voltage; Reliability engineering; Electrical engineering; Transistor","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":[0.000700412,0.0004390292,0.0004317021,0.0006018038,0.0003281444,0.001165858,0.001681978,0.000481849,0.002070829],"category_scores_gemma":[0.003170605,0.000321542,0.0004194558,0.0008670622,0.0003822141,0.001036071,0.0004397304,0.0005897186,0.0002667811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001868412,"about_ca_system_score_gemma":0.0007192416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002197497,"about_ca_topic_score_gemma":0.006267285,"domain_scores_codex":[0.9994431,0.0000971389,0.00001371799,0.00007926537,0.0002792817,0.00008745716],"domain_scores_gemma":[0.9978291,0.001167146,0.0003563929,0.0002859765,0.0003164598,0.00004491112],"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":[0.0005929858,0.0001650794,0.01086483,0.0003703196,0.00016837,0.0005115454,0.000269428,0.7238495,0.1105924,0.03619044,0.003797633,0.1126275],"study_design_scores_gemma":[0.000007304684,0.00005930492,0.00100152,0.000006248225,0.0000268915,0.0001036602,0.000009758485,0.9874436,0.008323859,0.00240011,0.0006084359,0.00000923109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6247693,0.003650159,0.3548972,0.001093118,0.00008995182,0.0000754623,0.0004104963,0.001967741,0.01304656],"genre_scores_gemma":[0.9862009,0.0001673426,0.01175549,0.00004517744,0.00002773633,0.00001858832,0.00007442359,0.0001246218,0.001585735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002197497,"threshold_uncertainty_score":0.01355636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004865495981253654,"score_gpt":0.1929346278790558,"score_spread":0.1880691318978022,"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."}}