{"id":"W2573372484","doi":"10.1109/tcpmt.2016.2635656","title":"Stable Model-Order Reduction of Active Circuits","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Components Packaging and Manufacturing Technology","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Passivity; Reduction (mathematics); Electronic circuit; Model order reduction; Stability (learning theory); Computer science; Equivalent circuit; Control theory (sociology); Class (philosophy); Electronic engineering; Algorithm; Mathematics; Engineering; Electrical engineering; Control (management); Voltage; Artificial intelligence","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":[0.00005096748,0.0001744492,0.0002277909,0.0002302889,0.0006579594,0.00004125853,0.000201873,0.0000935904,0.00005170751],"category_scores_gemma":[7.306941e-7,0.0001752952,0.00006076567,0.00004503057,0.0002050851,0.0002051195,0.000007597359,0.0003772805,0.00000492148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002017189,"about_ca_system_score_gemma":0.00001569527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001342822,"about_ca_topic_score_gemma":0.000002100686,"domain_scores_codex":[0.9991251,0.00001525794,0.0001856237,0.0003173139,0.0001067555,0.000249987],"domain_scores_gemma":[0.9992228,0.00001218759,0.0001811945,0.0004845054,0.00003939213,0.00005995658],"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":[0.0001027267,0.0004511717,0.0001607473,0.00004086992,0.0002848804,0.000001912584,0.0002775451,0.09601136,0.07187778,0.00221975,0.0001053219,0.8284659],"study_design_scores_gemma":[0.0007121316,0.00004901457,0.0002754838,0.00007058367,0.00004797627,0.00001075093,0.0001771837,0.02832217,0.9620369,0.007860694,0.0002100109,0.00022707],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6567771,0.000005978258,0.3414387,0.0004511498,0.00034929,0.0001128922,0.00001881145,0.00008449808,0.0007615721],"genre_scores_gemma":[0.9986748,0.00002697854,0.0005954394,0.000007644575,0.00003982967,0.00002516262,0.000003106099,0.00001969845,0.0006073852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8901591,"threshold_uncertainty_score":0.714833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02514894381153028,"score_gpt":0.2573619156733487,"score_spread":0.2322129718618184,"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."}}