{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005651488,0.0007449434,0.0007199664,0.0005745359,0.0005582673,0.001044204,0.002035862,0.001343174,0.0134823],"category_scores_gemma":[0.001589653,0.0005895804,0.0008474693,0.0004790456,0.0003651262,0.0009033594,0.0008263863,0.0012427,0.003790571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003653073,"about_ca_system_score_gemma":0.001078779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002491412,"about_ca_topic_score_gemma":0.002857731,"domain_scores_codex":[0.9996463,0.00006411661,0.00002138037,0.00003278712,0.0002023972,0.00003316228],"domain_scores_gemma":[0.9993198,0.0002558319,0.00004522683,0.0001085983,0.0002488339,0.00002169883],"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":[0.000123268,0.0001716523,0.0009669261,0.0004813759,0.0000815156,0.0002292003,0.0002697408,0.7857813,0.03099641,0.05355286,0.009747566,0.1175982],"study_design_scores_gemma":[0.00001530607,0.00002320452,0.00009400415,0.00002075471,0.00001046796,0.00005989456,0.0000168766,0.9726579,0.008425523,0.002773409,0.01588783,0.00001481163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00457898,0.00005757342,0.9859206,0.00006523979,0.00006750454,0.0001008389,0.0002339178,0.001975919,0.006999392],"genre_scores_gemma":[0.1505617,0.0003205144,0.8215877,0.0001633959,0.00003709445,0.0007069082,0.001087339,0.001403363,0.02413205],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0134823,"threshold_uncertainty_score":0.04510278,"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."}}