{"id":"W4244662841","doi":"10.1002/0471654507.eme093","title":"Electromagnetic Modeling","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of RF and Microwave Engineering","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Finite-difference time-domain method; Transmission-line matrix method; Method of moments (probability theory); Computational electromagnetics; Electromagnetics; Electromagnetic field; Computer science; Domain (mathematical analysis); Transmission line; Focus (optics); Field (mathematics); Matrix (chemical analysis); Scattering-matrix method; Applied mathematics; Algorithm; Mathematics; Maxwell's equations; Electronic engineering; Mathematical analysis; Physics; Engineering; Telecommunications; Optics","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":[0.0004528357,0.001125143,0.0007731071,0.001270486,0.0007680291,0.002950663,0.001901039,0.001381936,0.05748253],"category_scores_gemma":[0.001268807,0.0003518585,0.001013285,0.001287463,0.0004450307,0.001581836,0.001517262,0.000901512,0.03560249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000860034,"about_ca_system_score_gemma":0.001067978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002267547,"about_ca_topic_score_gemma":0.001379916,"domain_scores_codex":[0.9994785,0.00009250251,0.00002908054,0.00009040046,0.0002757822,0.00003369797],"domain_scores_gemma":[0.9995313,0.00006797242,0.00002873052,0.0001247736,0.0002268487,0.00002040809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006969339,0.00006784606,0.0008608,0.0006622358,0.0000630801,0.0004369629,0.0002159838,0.1397414,0.008747094,0.3681719,0.1585165,0.3224465],"study_design_scores_gemma":[0.00001520956,0.00003060564,0.0003262805,0.0001890547,0.00002492286,0.0003620818,0.00008155481,0.1351239,0.003291226,0.0524363,0.808088,0.00003085815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003656828,0.00369629,0.5526019,0.001937696,0.001434125,0.0002640701,0.002877684,0.005172193,0.4283592],"genre_scores_gemma":[0.1535702,0.01257923,0.2196599,0.001406075,0.0009672176,0.0007298484,0.01218501,0.001759815,0.5971428],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05748253,"threshold_uncertainty_score":0.1922982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004445708326809185,"score_gpt":0.2049762938548398,"score_spread":0.2005305855280307,"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."}}