{"id":"W4379524577","doi":"10.1109/icps57144.2023.10142080","title":"AC Electromagnetic Interference Study between Railways and Nearby Power Lines under Steady-State Operation","year":2023,"lang":"en","type":"article","venue":"","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Manitoba Hydro","funders":"","keywords":"EMI; Electromagnetic interference; Ballast; Electrical engineering; Engineering; Line (geometry); Power (physics); Electric power transmission; Voltage; Electric power system; Sensitivity (control systems); Automotive engineering; Electronic engineering; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017846,0.0001537273,0.0001763467,0.0001179175,0.0000728141,0.0001115916,0.0001062623,0.00004384227,0.00006492086],"category_scores_gemma":[0.000008917887,0.0001275105,0.00001991446,0.0002947829,0.00001842975,0.0001284646,0.00004318374,0.00009825838,0.0001338641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002045072,"about_ca_system_score_gemma":0.00000994694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009876466,"about_ca_topic_score_gemma":0.0001386811,"domain_scores_codex":[0.9991293,0.00002904693,0.0002375001,0.0002073932,0.0001266755,0.0002701141],"domain_scores_gemma":[0.9996749,0.00004407558,0.00001361276,0.000172656,0.00002725791,0.00006746535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00004889897,0.0003906709,0.07473383,0.0003652368,0.0007464787,0.00008344223,0.0318489,0.6077731,0.2218012,0.004555525,0.01321709,0.04443568],"study_design_scores_gemma":[0.002474822,0.003267738,0.6119636,0.0001140412,0.00008562612,0.0000177209,0.009842121,0.3580038,0.008719732,0.0005287811,0.003244999,0.001737053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910913,0.0001083602,0.002737132,0.00005824813,0.000199551,0.0001964368,0.000002428837,0.0005626613,0.005043948],"genre_scores_gemma":[0.9967365,0.00003192785,0.00004943457,0.00001261368,0.00005687271,0.00002315997,0.000007070501,0.00002920716,0.00305327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5372298,"threshold_uncertainty_score":0.5199727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01644017735579986,"score_gpt":0.2342961039144013,"score_spread":0.2178559265586014,"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."}}