{"id":"W1988102072","doi":"10.1109/92.994977","title":"Energy-efficient noise-tolerant dynamic styles for scaled-down CMOS and MTCMOS technologies","year":2002,"lang":"en","type":"article","venue":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Domino logic; Domino; Cascode; CMOS; Electronic engineering; Standby power; Computer science; Logic gate; Overhead (engineering); Dynamic demand; Engineering; Reliability (semiconductor); Dynamic logic (digital electronics); Pass transistor logic; Electrical engineering; Power (physics); Voltage; Transistor; Logic synthesis; Logic family","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002732305,0.0005041767,0.000512893,0.0005733584,0.000432546,0.000208028,0.0002766532,0.0003981828,0.0000516554],"category_scores_gemma":[0.000007457863,0.0004515764,0.0001952955,0.0005147711,0.0001183622,0.0004058939,0.000002759711,0.0003986958,0.00008835244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003487942,"about_ca_system_score_gemma":0.00001827548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003243046,"about_ca_topic_score_gemma":0.0002244076,"domain_scores_codex":[0.9976727,0.00006416005,0.0007049645,0.0005388454,0.0004039,0.0006154336],"domain_scores_gemma":[0.9989127,0.0001564192,0.00009856527,0.0005602214,0.0001556147,0.0001164606],"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":[0.0001260689,0.0008289635,0.0000296555,0.0007078312,0.0003476731,0.00001359091,0.002173436,0.8507745,0.05221055,0.000794113,0.003870112,0.08812346],"study_design_scores_gemma":[0.0009845241,0.0001736651,0.00001349831,0.0003067612,0.0000688213,0.00004084578,0.001738007,0.9495854,0.04295013,0.00001443901,0.00362433,0.0004995825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09284844,0.001258276,0.9001518,0.0001127987,0.002165659,0.000955171,0.0003528055,0.001710938,0.0004440812],"genre_scores_gemma":[0.9965761,0.000399022,0.0007284237,0.00002636376,0.00006523253,0.0009665401,0.00002171918,0.0001014467,0.001115182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9037277,"threshold_uncertainty_score":0.9997936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007794041568643099,"score_gpt":0.1937992313350795,"score_spread":0.1860051897664364,"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."}}