{"id":"W4252582505","doi":"10.1109/tpwrd.2003.813877","title":"Modeling nonuniform transmission lines for time domain simulation of electromagnetic transients","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Emtp; Time domain; Electric power transmission; Laplace transform; Electromagnetic pulse; Frequency domain; Transmission line; Electronic engineering; Electrical conductor; Computational electromagnetics; Transmission (telecommunications); Computer science; Engineering; Physics; Electromagnetic field; Mathematical analysis; Electrical engineering; Electric power system; Mathematics","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":[0.0002235163,0.000364743,0.0002679233,0.0002024398,0.0001748465,0.0003757739,0.0005619271,0.0005166098,0.001750772],"category_scores_gemma":[0.0009173414,0.000149196,0.0002519303,0.0003049646,0.0002336898,0.0005875138,0.0002208589,0.0003483063,0.0003317122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003252429,"about_ca_system_score_gemma":0.0004565661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002261773,"about_ca_topic_score_gemma":0.001733692,"domain_scores_codex":[0.999905,0.0000376993,0.000005794292,0.00001101016,0.00003211616,0.00000843481],"domain_scores_gemma":[0.9997841,0.000114447,0.00003207806,0.00002400724,0.00003701089,0.00000837005],"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":[0.00001401734,0.00001437663,0.0003077492,0.00002595239,0.000004902768,0.00005203173,0.00003245525,0.9781805,0.005986418,0.008140596,0.0002656154,0.006975383],"study_design_scores_gemma":[0.000002486699,0.000006570381,0.00002114027,0.000001473696,8.814469e-7,0.000007433582,0.000003480377,0.9982762,0.0005899324,0.0004168891,0.0006724792,0.000001016534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03256711,0.0001230489,0.9624498,0.000070787,0.00002445682,0.00004904791,0.00008299715,0.0004933613,0.004139419],"genre_scores_gemma":[0.7740269,0.0005247339,0.219903,0.0000372901,0.00002634686,0.0002811123,0.0002438218,0.0001402341,0.004816677],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002261773,"threshold_uncertainty_score":0.005856872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00794407352495814,"score_gpt":0.2218035331853944,"score_spread":0.2138594596604362,"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."}}