{"id":"W2148006771","doi":"10.1109/tdc.2001.971317","title":"Computation of power line structure surge impedances using the electromagnetic field method","year":2002,"lang":"en","type":"article","venue":"","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safe Engineering Services & Technologies (Canada)","funders":"","keywords":"Surge; Soil resistivity; Characteristic impedance; Electrical impedance; Surge arrester; Ground; Transmission line; Electromagnetic field; Electric power transmission; Electrical engineering; Wave impedance; Waveform; Physics; Engineering; Acoustics; Voltage","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":[0.0001981793,0.0003740911,0.0003726695,0.0007221882,0.0002274197,0.0003379678,0.0004281182,0.0004238823,0.002633924],"category_scores_gemma":[0.001108512,0.0002221302,0.0003288676,0.0006145695,0.0002704743,0.0006090541,0.0002742376,0.000324985,0.0006251187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003765219,"about_ca_system_score_gemma":0.0004183887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001287835,"about_ca_topic_score_gemma":0.001073597,"domain_scores_codex":[0.9998827,0.00002593467,0.000005770637,0.00001246566,0.0000603533,0.00001287033],"domain_scores_gemma":[0.99967,0.0001248598,0.00003165858,0.00003714385,0.0001205732,0.00001571221],"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":[0.00009436483,0.00005583541,0.001693246,0.0001100873,0.0000319291,0.0002498737,0.0001019723,0.8642114,0.02689199,0.02317699,0.00137241,0.08200987],"study_design_scores_gemma":[0.00001946901,0.00002914458,0.0004708153,0.000003643265,0.000003315434,0.00004912019,0.00001917514,0.9921352,0.003421394,0.002383869,0.001459147,0.000005726907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04466641,0.00004318065,0.9491319,0.00004775293,0.00001467217,0.00005261506,0.00008660357,0.0006965814,0.0052604],"genre_scores_gemma":[0.6626682,0.0001797063,0.3320751,0.00003428663,0.00002247179,0.000172826,0.0003620874,0.0001774596,0.004307881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002633924,"threshold_uncertainty_score":0.008811355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239123926560421,"score_gpt":0.2676439378967541,"score_spread":0.2552526986311499,"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."}}