{"id":"W4388536225","doi":"10.1049/tje2.12302","title":"Electromagnetic analysis of moving structures in a moving reference frame","year":2023,"lang":"en","type":"article","venue":"The Journal of Engineering","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais; Cégep de l'Outaouais","funders":"","keywords":"Finite-difference time-domain method; Observer (physics); Doppler effect; Physics; Electromagnetic radiation; Rotating reference frame; Reference frame; Moving frame; Frame of reference; Microwave; Discretization; Plane wave; Frame (networking); Plane (geometry); Acoustics; Classical mechanics; Optics; Computer science; Mathematical analysis; Geometry; Mathematics; Telecommunications","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":[0.0006060064,0.0001077579,0.0003215995,0.0008054919,0.000014022,0.00001021651,0.00021651,0.0000501844,0.00004923213],"category_scores_gemma":[0.0002507988,0.00008288134,0.0000867389,0.002192962,0.00001204232,0.00006207399,0.00001929121,0.0003493985,0.000001266417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000424365,"about_ca_system_score_gemma":0.00001116242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001122918,"about_ca_topic_score_gemma":0.000003836686,"domain_scores_codex":[0.9990251,0.00005130447,0.0004440331,0.00005128061,0.000203767,0.0002245195],"domain_scores_gemma":[0.9990895,0.0006004311,0.00008351121,0.0001382933,0.00004193249,0.00004628863],"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":[0.000006826493,0.000002423339,0.0003784695,0.00001953749,0.0001220444,0.000003291357,0.0002296303,0.7890683,0.2085458,0.0001189743,0.000008226193,0.00149639],"study_design_scores_gemma":[0.0001446373,0.00009568215,0.1501088,0.00003473061,0.0001786779,0.000008579744,0.00005148221,0.8436152,0.005362947,0.0002622642,0.00004559127,0.00009139361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847481,0.0006768471,0.01419668,0.00002526881,0.00009167883,0.00003680462,8.121353e-7,0.00005636386,0.000167463],"genre_scores_gemma":[0.9942827,0.0001902542,0.005458709,0.000007388995,0.00003166317,8.476916e-7,6.331376e-7,0.00001809517,0.000009670358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2031829,"threshold_uncertainty_score":0.3379803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01384174251575503,"score_gpt":0.2639144799964464,"score_spread":0.2500727374806914,"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."}}