{"id":"W2018790177","doi":"10.1109/iscas.2012.6271714","title":"Fast parasitic-aware synthesis methodology for high-performance analog circuits","year":2012,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Parasitic extraction; Computer science; CMOS; Analogue electronics; Electronic engineering; Electronic circuit; Sizing; Circuit extraction; Computer architecture; Equivalent circuit; Engineering; Electrical engineering","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":[0.0003780906,0.0001405023,0.0002220612,0.00009038432,0.00004840067,0.00001105866,0.0001287167,0.0001284913,0.0001613174],"category_scores_gemma":[0.00005083188,0.0001263281,0.00004455971,0.00009444317,0.00002129611,0.0001986613,0.000008309087,0.00007481341,0.00005228366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003568155,"about_ca_system_score_gemma":0.000005239825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008294483,"about_ca_topic_score_gemma":0.000002118252,"domain_scores_codex":[0.9992189,0.00003561964,0.0001662907,0.0001070184,0.00006177906,0.0004103727],"domain_scores_gemma":[0.9992965,0.000386686,0.00001707422,0.0001902365,0.00002822834,0.00008120338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001429971,0.0001034564,0.01339106,0.0006795269,0.0002732657,0.000002657071,0.0004888665,0.0009795035,0.1311527,0.01981214,0.01813444,0.814968],"study_design_scores_gemma":[0.0001108634,0.00006173045,0.01069633,0.00002307345,0.00005528173,0.00001582996,0.00004701529,0.004809232,0.9818816,0.0004586257,0.001505382,0.0003350176],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1110812,0.0001639984,0.881578,0.00002414264,0.0002837544,0.0002200525,0.00001762513,0.0009786903,0.00565252],"genre_scores_gemma":[0.9632242,0.00005846586,0.03605251,0.00006850016,0.0001836403,0.0002139287,0.00000664245,0.00003631428,0.0001558258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8521429,"threshold_uncertainty_score":0.5151511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05971503055040395,"score_gpt":0.2790983057995376,"score_spread":0.2193832752491336,"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."}}