{"id":"W3151432910","doi":"10.1109/date.2012.6176699","title":"Towards improving simulation of analog circuits using model order reduction","year":2012,"lang":"en","type":"article","venue":"","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Model order reduction; Reduction (mathematics); Analogue electronics; Nonlinear system; Electronic circuit; Electronic engineering; State space; Control theory (sociology); Algorithm; Mathematics; Engineering; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009445255,0.0009016955,0.000868467,0.0007404143,0.0004749864,0.0008332609,0.001069565,0.000841594,0.002719718],"category_scores_gemma":[0.00363565,0.0006211678,0.001460863,0.0004854628,0.0008146073,0.001111562,0.0006699819,0.001612409,0.0005772262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009997907,"about_ca_system_score_gemma":0.001436692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008150434,"about_ca_topic_score_gemma":0.007453418,"domain_scores_codex":[0.9993636,0.000229218,0.00003515718,0.00006489241,0.0002604844,0.00004672839],"domain_scores_gemma":[0.9984431,0.00093123,0.0001016122,0.0003103102,0.0001886047,0.00002508729],"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":[0.00002313566,0.00002578125,0.000317279,0.00004559169,0.00001623252,0.00002672973,0.00005293987,0.9747652,0.003930898,0.009890919,0.0001795557,0.01072581],"study_design_scores_gemma":[0.000004465253,0.000007821143,0.0000226899,0.00000297385,0.000003363238,0.00000453554,0.000003790901,0.9946012,0.001311452,0.00353254,0.0005029172,0.000002247629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02095219,0.00009042489,0.9751423,0.0001211113,0.00002416267,0.00006122359,0.00005971279,0.001238363,0.002310472],"genre_scores_gemma":[0.5061229,0.00038491,0.4890436,0.0001171633,0.00002721323,0.0003140025,0.0003630537,0.0004669482,0.003160233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008150434,"threshold_uncertainty_score":0.01620597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05456897610630156,"score_gpt":0.3065668686988097,"score_spread":0.2519978925925081,"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."}}