{"id":"W4214884879","doi":"10.1016/j.jappgeo.2022.104588","title":"Three-dimensional forward modeling and characterization of the responses of the ground-airborne frequency-domain electromagnetic method","year":2022,"lang":"en","type":"article","venue":"Journal of Applied Geophysics","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Discretization; Galerkin method; Basis function; Helmholtz equation; Finite element method; Frequency domain; Mathematical analysis; Solver; Mathematics; Physics; Mathematical optimization; Boundary value problem","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":[0.0008043864,0.0001180634,0.0003030332,0.00005115162,0.0002381274,0.00001210229,0.00035716,0.00003658455,0.00006937472],"category_scores_gemma":[0.00003703234,0.0000669345,0.0001616319,0.000629036,0.0000811326,0.0000711687,0.00006458475,0.0004333138,6.77504e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007924618,"about_ca_system_score_gemma":0.000138563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001731484,"about_ca_topic_score_gemma":0.00001910967,"domain_scores_codex":[0.9983658,0.0002729551,0.0004377666,0.0001316496,0.0006067195,0.0001851616],"domain_scores_gemma":[0.9987496,0.0003773596,0.0005491711,0.0001766294,0.00009566289,0.00005160048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00165848,0.0002628438,0.002501044,0.00007927033,0.0001718439,0.000003939704,0.0008305743,0.0270873,0.8048919,0.01325761,0.00002173488,0.1492334],"study_design_scores_gemma":[0.000529771,0.0008546841,0.4057199,0.00001965293,0.0001140633,0.00004032464,0.00009311007,0.03819444,0.007864509,0.5463573,0.00005816726,0.0001541471],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956452,0.00008776347,0.003381153,0.0004098751,0.0001572374,0.0001572219,0.00003436336,0.000002817589,0.0001243592],"genre_scores_gemma":[0.9884269,0.00000628311,0.01128321,0.0001652303,0.00009407836,0.000001488739,0.000003543342,0.000004366256,0.00001493443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7970274,"threshold_uncertainty_score":0.272951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132112577817921,"score_gpt":0.2191815764407273,"score_spread":0.2078604506625481,"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."}}