{"id":"W2617396071","doi":"","title":"Forward Modeling of Electromagnetic Methods Using General Purpose Finite Element Software","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Finite element method; Software; Computer science; Computational electromagnetics; Calculus (dental); Electromagnetic field; Applied mathematics; Mathematics; Engineering; Physics; Programming language; Structural engineering; Medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001402969,0.0002768353,0.0004423556,0.0001806751,0.0000576214,0.00003306417,0.00022264,0.0001300189,0.00001593322],"category_scores_gemma":[0.0008132955,0.000284877,0.0001193766,0.0004147194,0.00002818062,0.0001141282,0.00007098413,0.0002423029,0.000007598502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001471961,"about_ca_system_score_gemma":0.00006436757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002610704,"about_ca_topic_score_gemma":0.00001949012,"domain_scores_codex":[0.9978126,0.0003150554,0.000661718,0.0002777252,0.0003550317,0.0005778574],"domain_scores_gemma":[0.9988199,0.0002985408,0.0001081298,0.0003046477,0.0002128336,0.0002559665],"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":[0.00001861237,0.00002193356,0.0006708198,0.00005660623,0.00003743365,0.000002089158,0.000287323,0.9238777,0.05635722,0.00004865458,0.0001065127,0.01851509],"study_design_scores_gemma":[0.0005691932,0.0002471815,0.00002746002,0.00005196129,0.00006233599,0.00000704942,0.00006314721,0.9866448,0.009993969,0.001358915,0.0006648691,0.0003090845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3560196,0.00202022,0.6399173,0.00001846833,0.0002480516,0.0001888356,0.000002192916,0.0002300035,0.001355293],"genre_scores_gemma":[0.2574355,0.0000300472,0.7421927,0.00004624847,0.0001398837,0.00001427108,0.000006777853,0.00006393607,0.0000705742],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1022754,"threshold_uncertainty_score":0.9999604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04904573607453867,"score_gpt":0.336478911917541,"score_spread":0.2874331758430023,"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."}}