{"id":"W2100767146","doi":"10.1109/lmwc.2007.897798","title":"A Wavelet-Based Approach for Steady-State Analysis of Nonlinear Circuits With Widely Separated Time Scales","year":2007,"lang":"en","type":"article","venue":"IEEE Microwave and Wireless Components Letters","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Carleton University","funders":"","keywords":"Electronic circuit; Wavelet; Robustness (evolution); Nonlinear system; Computer science; Wavelet transform; Electronic engineering; Steady state (chemistry); Control theory (sociology); Mathematics; Algorithm; Engineering; Artificial intelligence; Electrical engineering; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003310063,0.000334221,0.0006684449,0.0005225311,0.0000862969,0.00003623745,0.0001765208,0.00009768639,0.000002836896],"category_scores_gemma":[0.000002148894,0.0003088863,0.0001822639,0.000663573,0.0001658431,0.00008589488,0.000007822409,0.0001565813,0.000004377402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005607824,"about_ca_system_score_gemma":0.00001599835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003978278,"about_ca_topic_score_gemma":0.00002248438,"domain_scores_codex":[0.9984059,0.00004080866,0.000455889,0.000371605,0.0002223249,0.0005034815],"domain_scores_gemma":[0.999238,0.0001574247,0.0001217302,0.0002379679,0.00009568323,0.0001492145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000106944,0.00008227277,0.0004521985,0.0001472244,0.001270386,0.00002140016,0.0001635852,0.03705583,0.9566826,0.00001422883,0.0003652203,0.00363808],"study_design_scores_gemma":[0.002286918,0.0001373074,0.004160591,0.00009131189,0.001047812,0.00001380205,0.00004468119,0.4828672,0.5084088,0.000009561769,0.0001539691,0.0007780233],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5319135,0.00005094766,0.4675817,0.000005613361,0.00002337553,0.000210671,0.00007953238,0.00006183103,0.0000727993],"genre_scores_gemma":[0.9976348,0.000007945056,0.001493185,0.0003332765,0.00003843908,0.00001645376,0.0003801379,0.00006232352,0.00003348051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4660885,"threshold_uncertainty_score":0.9999363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143385061536809,"score_gpt":0.2088580399839207,"score_spread":0.1945195338302398,"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."}}