{"id":"W2119667572","doi":"10.1109/iscas.1992.229977","title":"Pipelining of GaAs dynamic logic circuits","year":2003,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Information Technology Research Centre","keywords":"Pipeline (software); Computer science; Domino; Clock skew; Electronic circuit; Logic gate; Set (abstract data type); Process (computing); Electronic engineering; Electrical engineering; Algorithm; Clock signal; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008656194,0.0001851161,0.00008266442,0.0001348321,0.0001908558,0.0003442988,0.0002965884,0.0001699687,0.00186723],"category_scores_gemma":[0.0003677648,0.0001310232,0.00009191506,0.0001977893,0.0001658042,0.0003807206,0.0001662289,0.0002026992,0.0002221788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003713346,"about_ca_system_score_gemma":0.0002732544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008657376,"about_ca_topic_score_gemma":0.002642368,"domain_scores_codex":[0.9999189,0.00001341989,0.000004207274,0.00001808764,0.0000271856,0.00001825303],"domain_scores_gemma":[0.9998997,0.00003964764,0.00001565197,0.00001742121,0.00002002597,0.000007483321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001394261,0.00003466493,0.0006665512,0.00013415,0.0000121632,0.0003943513,0.0001801193,0.03332128,0.7952709,0.03868182,0.001592592,0.129572],"study_design_scores_gemma":[0.00005958425,0.0005391021,0.001677138,0.00003639882,0.00003417827,0.0005421802,0.00007104265,0.2680181,0.670535,0.01723096,0.04122617,0.00003025163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5262828,0.001952354,0.437593,0.0004718065,0.0000867773,0.00009969582,0.0002581985,0.002265836,0.03098954],"genre_scores_gemma":[0.9449502,0.0003975623,0.04977926,0.00006455876,0.00001364307,0.00002935154,0.00009084531,0.00003377108,0.004640846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00186723,"threshold_uncertainty_score":0.006246507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048201994953321,"score_gpt":0.2086463065819254,"score_spread":0.1981642866323922,"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."}}