{"id":"W2800869073","doi":"10.1109/iscas.2018.8351560","title":"Fast Performance Evaluation for Analog Circuit Synthesis Frameworks","year":2018,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Network topology; Schematic; Analogue electronics; Graph; Electronic circuit; Computer engineering; Algorithm; Topology (electrical circuits); Theoretical computer science; Electronic engineering; 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":[0.0002864036,0.00007955211,0.00008387359,0.00006159615,0.00005408003,0.00002252931,0.00009079606,0.0001571393,0.0004664139],"category_scores_gemma":[0.00006818447,0.00007318338,0.00003263273,0.00009257789,0.00002223353,0.0001099925,0.000005813251,0.00008432051,0.00005905261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004347258,"about_ca_system_score_gemma":0.00000841458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002337724,"about_ca_topic_score_gemma":0.000004849002,"domain_scores_codex":[0.9995247,0.000007887487,0.0001074758,0.00009863554,0.0001092141,0.0001521556],"domain_scores_gemma":[0.9996253,0.00007224662,0.00001141065,0.0001615217,0.0001016678,0.00002791562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000344259,0.000008705062,0.0003032748,0.00003774459,0.00002644532,7.909854e-8,0.0001429468,0.000363555,0.005138482,0.0007432723,0.009607807,0.9836242],"study_design_scores_gemma":[0.00008691365,0.00009169243,0.001871684,0.00004806811,0.00003857474,0.000001703081,0.00004100846,0.7991108,0.1941978,0.002064989,0.002244866,0.0002019318],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07670498,0.00005343499,0.8746686,0.00002021458,0.0001708403,0.0003407246,0.000004099345,0.0007046094,0.04733247],"genre_scores_gemma":[0.9912457,0.00002366498,0.008129505,0.00005698627,0.000214203,0.0002218721,0.000003592281,0.00002021578,0.00008418617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9834223,"threshold_uncertainty_score":0.5106905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02707449811160098,"score_gpt":0.2559348126299347,"score_spread":0.2288603145183337,"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."}}