{"id":"W4405718679","doi":"10.23919/emc.2003.10806157","title":"Electromagnetic Simulator Theory and Practice: Module 6 Finite Element, Finite Difference, and TLM Formulations","year":2003,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Finite element method; Computer science; Electromagnetic simulation; Simulation; Electronic engineering; Engineering; Structural engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0004874584,0.0001960041,0.0001893061,0.0001076201,0.0001116545,0.00006621063,0.00005063811,0.00008270326,0.0004447665],"category_scores_gemma":[0.001644255,0.0001785086,0.00002862167,0.0002587388,0.00004937078,0.0001500735,0.00001699333,0.0001669068,0.00001007258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001972966,"about_ca_system_score_gemma":0.00001278363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002487396,"about_ca_topic_score_gemma":0.000001856083,"domain_scores_codex":[0.9987873,0.0002776762,0.0002546151,0.0002207779,0.0001312265,0.0003283496],"domain_scores_gemma":[0.9952978,0.004282441,0.00003465349,0.0001864886,0.00004649635,0.0001520542],"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":[0.0002191258,0.0002704129,0.003992556,0.0001782331,0.0002870735,0.00001109641,0.0009268615,0.07919083,0.06106227,0.7428189,0.0003295431,0.1107131],"study_design_scores_gemma":[0.001599522,0.0007157389,0.01787612,0.00001502935,0.0001210955,0.00003132796,0.00008539061,0.8769795,0.002879261,0.08456086,0.01452964,0.0006065418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2788669,0.002111963,0.6591601,0.0001605773,0.0001211703,0.0004672832,0.000005689255,0.0004187678,0.05868753],"genre_scores_gemma":[0.9505728,0.000276149,0.04728975,0.0003251005,0.00002047449,0.0000200141,0.000004169487,0.00003096273,0.001460576],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7977886,"threshold_uncertainty_score":0.7279371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325312929170295,"score_gpt":0.2798118566167627,"score_spread":0.2665587273250597,"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."}}