{"id":"W2897751190","doi":"10.3997/2214-4609.201801209","title":"A Finite-Element Based Algorithm for 3d Magnetotelluric Inversion Using Unstructured Meshes for Complex Geological Setti","year":2018,"lang":"en","type":"article","venue":"Proceedings","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Geological Survey of Canada","funders":"","keywords":"Magnetotellurics; Inversion (geology); Jacobian matrix and determinant; Algorithm; Computation; Finite element method; Polygon mesh; Computer science; Computational science; Geology; Mathematics; Applied mathematics","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":[0.000331128,0.0003416585,0.0004002059,0.0003678456,0.0004171777,0.0005482788,0.0009633565,0.0005472176,0.003617651],"category_scores_gemma":[0.0008337172,0.0003248348,0.0004037642,0.0003505687,0.0003054535,0.0003618171,0.0007692065,0.0007149009,0.001434916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003554674,"about_ca_system_score_gemma":0.0007331053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003013366,"about_ca_topic_score_gemma":0.003240574,"domain_scores_codex":[0.999851,0.00002438309,0.000008813841,0.00001850279,0.0000848882,0.00001238937],"domain_scores_gemma":[0.9997776,0.00008962066,0.00001491471,0.00002590102,0.00008170972,0.00001021633],"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":[0.00004717932,0.00005075939,0.0006201856,0.0001169161,0.00002587806,0.0001125105,0.0001933513,0.6997761,0.02952034,0.03044998,0.004427774,0.2346591],"study_design_scores_gemma":[0.000006397252,0.000008035882,0.00007005563,0.000006827279,0.000001853557,0.00002537726,0.0000124633,0.9896045,0.002052308,0.003050044,0.005156124,0.000005985085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001298385,0.00001213796,0.9974906,0.00002287156,0.000008342762,0.00001822934,0.00002933417,0.0002854229,0.0008346387],"genre_scores_gemma":[0.04460048,0.00003830211,0.9526049,0.00002925722,0.00000693558,0.0001927764,0.0002216668,0.0001348329,0.00217092],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003617651,"threshold_uncertainty_score":0.01210225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04885857665280314,"score_gpt":0.2726102659077101,"score_spread":0.223751689254907,"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."}}