{"id":"W3189967093","doi":"10.1109/lawp.2021.3132626","title":"Electromagnetic Modeling of Lossy Materials With a Potential-Based Boundary Element Method","year":2021,"lang":"en","type":"article","venue":"IEEE Antennas and Wireless Propagation Letters","topic":"Electromagnetic Scattering and Analysis","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems; Advanced Micro Devices","keywords":"Lossy compression; Boundary element method; Computational electromagnetics; Finite element method; Boundary (topology); Boundary value problem; Materials science; Computer science; Electromagnetic field; Physics; Mathematical analysis; Structural engineering; Engineering; 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":[0.0004184234,0.0004655364,0.000540302,0.0004380604,0.0003676854,0.0009419799,0.001175024,0.001329227,0.002291994],"category_scores_gemma":[0.001048277,0.0003643943,0.0004024185,0.0005796921,0.0005668541,0.0009516195,0.0008475928,0.0007778088,0.0009120227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003713136,"about_ca_system_score_gemma":0.0005612393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001233972,"about_ca_topic_score_gemma":0.0006815707,"domain_scores_codex":[0.9997572,0.00008034996,0.00001000339,0.00002172266,0.0001140543,0.00001659981],"domain_scores_gemma":[0.9997782,0.0001088933,0.00002482817,0.00002137781,0.00005276158,0.00001390042],"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":[0.00002821885,0.00003418697,0.0002522524,0.0001006896,0.00001173885,0.0001582915,0.0001117084,0.8922685,0.01362862,0.07677011,0.001325813,0.01530987],"study_design_scores_gemma":[0.000003545942,0.00000597713,0.00002818582,0.000008629701,0.000001381531,0.00002776016,0.000006892814,0.9933226,0.0006349186,0.004075463,0.001880645,0.000003993823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009105646,0.0004470832,0.9795992,0.000207803,0.00004560914,0.00004063961,0.00008412311,0.0001766542,0.01029327],"genre_scores_gemma":[0.4367881,0.001615123,0.5407011,0.0002731861,0.0000749252,0.0004816054,0.0003420872,0.0002549405,0.01946897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002291994,"threshold_uncertainty_score":0.007667542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005930340592363833,"score_gpt":0.2231883477431971,"score_spread":0.2172580071508333,"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."}}