{"id":"W3214689730","doi":"10.1016/j.acags.2021.100073","title":"Forward modeling of magnetotellurics using Comsol Multiphysics","year":2021,"lang":"en","type":"article","venue":"Applied Computing and Geosciences","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnetotellurics; Multiphysics; Geophysics; Finite element method; Electromagnetics; Geology; Maxwell's equations; Inversion (geology); Physics; Engineering; Electronic engineering; Electrical resistivity and conductivity; Electrical engineering; Seismology; Classical mechanics; Structural engineering","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":[0.0004067917,0.0007275729,0.0006349476,0.00048915,0.0006222939,0.001163076,0.001512271,0.001152701,0.008429271],"category_scores_gemma":[0.000875846,0.0004363535,0.0009830091,0.0005157003,0.0003408036,0.000532481,0.0007194788,0.001047079,0.001901163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005573332,"about_ca_system_score_gemma":0.001445551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006984911,"about_ca_topic_score_gemma":0.00781482,"domain_scores_codex":[0.9997861,0.00003410097,0.0000131923,0.00002670715,0.0001159032,0.00002409762],"domain_scores_gemma":[0.9995863,0.0001334251,0.00004473488,0.0000504506,0.0001633018,0.00002191389],"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":[0.00002786385,0.00004745666,0.0008853532,0.0003096972,0.0000344552,0.0001359312,0.0001794917,0.9494761,0.01335557,0.013074,0.003955144,0.01851902],"study_design_scores_gemma":[0.00001019941,0.00002056688,0.0001575483,0.00002044783,0.00000615304,0.00003453757,0.00003026349,0.9825816,0.003394605,0.001529265,0.01220228,0.00001248269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03482729,0.000387672,0.9294174,0.0005616254,0.0002256704,0.0002820964,0.002460525,0.00454938,0.02728844],"genre_scores_gemma":[0.4558186,0.0009643291,0.5087885,0.0003448223,0.00007125179,0.001462267,0.003597095,0.001543077,0.02741013],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008429271,"threshold_uncertainty_score":0.02819866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574412648975247,"score_gpt":0.2491511012761332,"score_spread":0.2234069747863808,"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."}}