{"id":"W2169286256","doi":"10.1109/tsm.2010.2080693","title":"Statistical Design Framework of Submicron Flip-Flop Circuits Considering Process Variations","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Semiconductor Manufacturing","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Carleton University","funders":"","keywords":"Flip-flop; Electronic engineering; Transistor; FLOPS; Electronic circuit; Circuit design; Process (computing); Leakage (economics); Engineering; Voltage; Transistor count; Integrated circuit design; Computer science; Electrical engineering; Parallel computing; CMOS","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":[0.002699445,0.0010589,0.0009638774,0.0008551229,0.0005062314,0.001284427,0.002005839,0.0009273369,0.001487635],"category_scores_gemma":[0.003073687,0.0006439817,0.001082118,0.0007471991,0.001229824,0.001094362,0.0006859099,0.001299205,0.0005354676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591359,"about_ca_system_score_gemma":0.002783139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001569116,"about_ca_topic_score_gemma":0.001890885,"domain_scores_codex":[0.998289,0.0004811257,0.00007854161,0.0002049765,0.0008043572,0.0001419685],"domain_scores_gemma":[0.9985921,0.0006640448,0.0001777695,0.0001537534,0.0003715052,0.00004080484],"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":[0.00002793028,0.00002639905,0.0002628201,0.0001421336,0.00004216043,0.0001168859,0.00006534301,0.7774128,0.007355283,0.1950051,0.000538277,0.01900485],"study_design_scores_gemma":[0.000009896995,0.00005309505,0.00006630377,0.000008041459,0.0000168545,0.00003689407,0.000007588708,0.9691499,0.001559396,0.02667081,0.00241327,0.00000788648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001724176,0.0001697533,0.9970011,0.00006714909,0.00001566774,0.0000387456,0.00002423424,0.00007512506,0.0008840979],"genre_scores_gemma":[0.35232,0.001611638,0.6401415,0.0003145494,0.0002649494,0.001036309,0.0002427029,0.0002340973,0.003834276],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002699445,"threshold_uncertainty_score":0.01427621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01769005813690477,"score_gpt":0.2398221444221017,"score_spread":0.2221320862851969,"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."}}