{"id":"W2137446456","doi":"10.1109/mwsym.1998.689371","title":"Nonlinear transient simulation of embedded subnetworks characterized by S-parameters using complex frequency hopping","year":2002,"lang":"en","type":"article","venue":"","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Spice; Nonlinear system; Computer science; Transient (computer programming); Electronic engineering; Method of moments (probability theory); Reduction (mathematics); Transient analysis; Electronic circuit simulation; Transient response; Electronic circuit; Engineering; Mathematics; 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":[],"consensus_categories":[],"category_scores_codex":[0.00009535035,0.0001712382,0.0003302766,0.00008798203,0.00004121163,0.00003847485,0.00008502439,0.00009753112,0.0004740819],"category_scores_gemma":[0.000006205909,0.0001710844,0.0001091059,0.0001951369,0.00002112234,0.0002064781,0.000004497145,0.00008515141,0.00002325037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005016098,"about_ca_system_score_gemma":0.000003002825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002482126,"about_ca_topic_score_gemma":0.000002331197,"domain_scores_codex":[0.9988503,0.00004624698,0.0005285263,0.0001532735,0.0001879093,0.0002337378],"domain_scores_gemma":[0.9995148,0.00008094269,0.00008333321,0.0001876,0.00005662205,0.00007666972],"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":[0.000006501631,0.00002239358,0.00006696221,0.0000405781,0.00004021469,5.990241e-7,0.000169651,0.8158647,0.181115,0.000005542441,0.00005243549,0.002615479],"study_design_scores_gemma":[0.000868734,0.00001891564,0.0001300436,0.00003202292,0.0000199648,0.00000131809,0.00003442811,0.9973227,0.0007352029,0.000003902614,0.0006516943,0.0001811142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.640557,0.0002070795,0.3542016,0.00001399755,0.0001848267,0.0004888509,0.00001860529,0.0002647802,0.004063304],"genre_scores_gemma":[0.9963099,0.00001522129,0.003390013,0.00003944743,0.00006890638,0.000007240519,0.00005501568,0.00003355697,0.0000806758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3557529,"threshold_uncertainty_score":0.6976621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03934051609636917,"score_gpt":0.2434726021241568,"score_spread":0.2041320860277876,"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."}}