{"id":"W3205782932","doi":"10.1109/tpwrd.2021.3121194","title":"Time-Domain Coupling Model for Nonparallel Frequency-Dependent Overhead Multiconductor Transmission Lines Above Lossy Ground","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Faculty of Graduate Studies, Dalhousie University; Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Electric power transmission; Transmission line; Overhead (engineering); Time domain; Lossy compression; Transient (computer programming); Electronic engineering; Frequency domain; Transmission (telecommunications); Coupling (piping); Nonlinear system; Engineering; Computer science; Topology (electrical circuits); Mathematical analysis; Electrical engineering; Physics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001468844,0.0003573753,0.0002627258,0.0002302497,0.0002315034,0.0004440395,0.0007859074,0.0006538006,0.00193998],"category_scores_gemma":[0.0003203679,0.000149266,0.0003439236,0.0003415973,0.000293621,0.0007696827,0.0002322371,0.0004849085,0.0003146275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005091842,"about_ca_system_score_gemma":0.0005016847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003600409,"about_ca_topic_score_gemma":0.003387331,"domain_scores_codex":[0.9999102,0.00002133394,0.000004157714,0.00002306347,0.00003222208,0.000009047241],"domain_scores_gemma":[0.9998565,0.00004397247,0.00004235903,0.00001642667,0.00003251526,0.000008312511],"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":[0.00003126067,0.00003763572,0.0007664997,0.00003966372,0.00001271054,0.0002005691,0.00008682792,0.9683687,0.01104533,0.01264346,0.0003579748,0.00640937],"study_design_scores_gemma":[0.000002494298,0.00001403149,0.00009024804,0.000001766071,0.000002634504,0.00002673585,0.000008825893,0.9984064,0.0005046766,0.0005050182,0.0004352225,0.000001935885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09121026,0.0001833467,0.8954425,0.0001663301,0.00002930351,0.00006189182,0.000181795,0.000368832,0.01235568],"genre_scores_gemma":[0.9448152,0.0004030029,0.04051922,0.00006873046,0.0000184045,0.000108806,0.0002088521,0.00008209227,0.01377578],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003600409,"threshold_uncertainty_score":0.007158935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412026745505489,"score_gpt":0.2371519761663894,"score_spread":0.2230317087113345,"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."}}