{"id":"W2003420228","doi":"10.1109/temc.2015.2402638","title":"A Model of Electromagnetic Interferences Induced by Corona Discharges for Wireless Channels in Substation Environments","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Electromagnetic Compatibility","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; École de Technologie Supérieure","funders":"","keywords":"Electromagnetic interference; Amplitude; Cyclostationary process; Transient (computer programming); Noise (video); Corona (planetary geology); Wireless; Physics; Electromagnetic compatibility; Computational physics; Range (aeronautics); Interference (communication); Electronic engineering; Acoustics; Electrical engineering; Computer science; Engineering; Telecommunications; Channel (broadcasting); Optics; Aerospace engineering","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":[0.0002619957,0.0007196807,0.0007086827,0.0004796503,0.0003176644,0.0006007946,0.00106737,0.001185217,0.001218402],"category_scores_gemma":[0.0009723739,0.0002190384,0.0006027202,0.0005957752,0.0006357417,0.0009132648,0.0004487487,0.000724764,0.0002820096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005239989,"about_ca_system_score_gemma":0.0004632213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004708862,"about_ca_topic_score_gemma":0.002449218,"domain_scores_codex":[0.9997476,0.00005155676,0.00001235731,0.00006963372,0.0000722347,0.0000466578],"domain_scores_gemma":[0.9996305,0.0001487192,0.00009527084,0.00003219191,0.00007032157,0.00002312747],"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":[0.00006071294,0.00004667821,0.001474174,0.0000873333,0.00003215774,0.0004960264,0.0001563814,0.9567589,0.008891683,0.02526647,0.000829817,0.005899697],"study_design_scores_gemma":[0.000005892913,0.0000227832,0.0002842076,0.000002410222,0.000007717832,0.00006017418,0.00001429876,0.9965474,0.0002626509,0.002561614,0.0002249374,0.0000059351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1814333,0.0007725789,0.8033049,0.0004770177,0.000108226,0.0000972749,0.0004575135,0.0004577343,0.01289134],"genre_scores_gemma":[0.9808968,0.000682686,0.008669167,0.00009322935,0.00007935017,0.00009551816,0.000215002,0.00004532055,0.009222852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004708862,"threshold_uncertainty_score":0.009362876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03682732816741494,"score_gpt":0.2577195367201405,"score_spread":0.2208922085527255,"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."}}