{"id":"W4399568385","doi":"10.1109/tap.2024.3410541","title":"MultiAIM: Fast Electromagnetic Analysis of Multiscale Structures Using Boundary Element Methods","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":6,"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":"Computational electromagnetics; Boundary element method; Finite element method; Electromagnetic field; Boundary (topology); Computer science; Physics; Mathematical analysis; 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":[0.0008633219,0.0008630505,0.0009116569,0.0008965902,0.0005353255,0.001193676,0.002064952,0.001531694,0.01436549],"category_scores_gemma":[0.001680646,0.0004712914,0.0008165353,0.0007295833,0.0004229727,0.001473469,0.001477249,0.001441828,0.003831035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003239833,"about_ca_system_score_gemma":0.0007071772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000809071,"about_ca_topic_score_gemma":0.001025568,"domain_scores_codex":[0.9996266,0.00007198474,0.00001704825,0.00003714762,0.0002194143,0.00002782647],"domain_scores_gemma":[0.9994057,0.0002814669,0.00004694557,0.0001070351,0.0001290509,0.00002977158],"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":[0.0001592904,0.0001889553,0.001544692,0.001079624,0.0001922328,0.000517577,0.0005324638,0.393966,0.05367177,0.1493528,0.03727647,0.3615182],"study_design_scores_gemma":[0.00003252878,0.00001597288,0.0001743851,0.00004165147,0.000006896539,0.000085935,0.00001731117,0.9591921,0.005711936,0.01133249,0.02337156,0.00001726225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002276796,0.0002331935,0.9896719,0.0001049914,0.0000832889,0.00005825775,0.0002016917,0.003613186,0.003756598],"genre_scores_gemma":[0.04934775,0.0003235102,0.9439985,0.0001115472,0.00005497436,0.0003694638,0.0005403728,0.001329666,0.003924096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01436549,"threshold_uncertainty_score":0.04805738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01889579627235994,"score_gpt":0.3197081755734388,"score_spread":0.3008123793010788,"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."}}