{"id":"W3096115254","doi":"10.1109/temc.2020.3029448","title":"Time-Domain Analysis of Retarded Partial Element Equivalent Circuit Models Using Numerical Inversion of Laplace Transform","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Electromagnetic Compatibility","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Partial element equivalent circuit; Laplace transform; Solver; Time domain; Computer science; Impulse response; Equivalent circuit; Applied mathematics; Mathematical optimization; Mathematics; Mathematical analysis; Electrical engineering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003166686,0.0002863647,0.0008402363,0.0002493673,0.00006615193,0.000008413796,0.0002117625,0.0001143888,0.001121817],"category_scores_gemma":[0.00001094272,0.0003054874,0.0004527817,0.001832727,0.0001184308,0.00008759829,0.000001930767,0.0003142109,0.000003748228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001705512,"about_ca_system_score_gemma":0.0000576071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006261012,"about_ca_topic_score_gemma":0.000009632881,"domain_scores_codex":[0.9974787,0.0002860188,0.0009057451,0.0004140285,0.0005129554,0.0004025602],"domain_scores_gemma":[0.9988708,0.0002875155,0.0001159763,0.0003957441,0.00009995185,0.0002299364],"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":[0.0002365058,0.0002477563,0.00002122454,0.00008459203,0.0004134008,6.323633e-7,0.0006479572,0.7378169,0.2539496,0.00002143332,0.000008638789,0.006551377],"study_design_scores_gemma":[0.0006792576,0.0014895,0.0001598635,0.00001160751,0.0007988919,6.75612e-7,0.00002768219,0.8294193,0.1668298,0.000364625,0.000008743608,0.0002100296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4884749,0.00004404025,0.5108345,0.00007108715,0.00003576793,0.0002689536,0.00003270216,0.00008479852,0.00015322],"genre_scores_gemma":[0.9911297,0.00002068747,0.008727819,0.00005000526,0.00001263477,0.00001263536,0.00001001003,0.00002879904,0.000007684474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5026548,"threshold_uncertainty_score":0.9999397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04199687188145812,"score_gpt":0.2712838299770439,"score_spread":0.2292869580955858,"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."}}