{"id":"W1891991047","doi":"10.1109/mwscas.1992.271259","title":"Optimization of digital BiCMOS circuits, an overview","year":2003,"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":"University of Waterloo","funders":"","keywords":"BiCMOS; CMOS; Computer science; Digital electronics; Electronic circuit; Electronic engineering; Logic gate; Computer architecture; Transistor; Engineering; Electrical engineering; Voltage","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":[0.00006775971,0.0001021321,0.0001218835,0.00006964379,0.0000160022,0.00003332818,0.00008977075,0.00005059471,0.0004553339],"category_scores_gemma":[0.00001383939,0.00009579739,0.00002810907,0.0002403906,0.00001357693,0.000658201,0.000005378756,0.00004687375,0.00005252734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002627848,"about_ca_system_score_gemma":0.00001377279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000165607,"about_ca_topic_score_gemma":8.257221e-7,"domain_scores_codex":[0.9994408,0.000009068549,0.0001822716,0.00009726403,0.0001193939,0.0001511865],"domain_scores_gemma":[0.9996644,0.00001214644,0.00001748416,0.0002199139,0.0000313886,0.00005470388],"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":[8.615561e-7,0.00004968949,0.001695116,0.0001280366,0.00002774656,0.000001644056,0.0001456644,0.9839749,0.001387022,0.005800463,0.0007303936,0.006058481],"study_design_scores_gemma":[0.001266791,0.0002501014,0.001562497,0.0001021119,0.0000464575,0.00003008586,0.0001843035,0.8916228,0.08809028,0.0004657222,0.01541512,0.0009636749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1774903,0.002471146,0.627455,0.00001408653,0.0007906329,0.0004688948,0.00002259581,0.001182893,0.1901045],"genre_scores_gemma":[0.995389,0.0002398103,0.004083962,0.00001614339,0.00001748627,0.000004769231,0.0000132664,0.00003121759,0.0002042813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8178988,"threshold_uncertainty_score":0.4985586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02591796669408225,"score_gpt":0.2254449575321837,"score_spread":0.1995269908381015,"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."}}