{"id":"W3089610036","doi":"10.1190/segam2020-3427026.1","title":"Surface geometry inversion of time-domain EM data","year":2020,"lang":"pt","type":"article","venue":"","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Inversion (geology); Geometry; Discretization; Solver; Tetrahedron; Electromagnetics; Computer science; Geology; Algorithm; Mathematical analysis; Mathematics; Engineering; Seismology; Electronic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004287797,0.0005111762,0.0003526579,0.000546604,0.0002541562,0.0008471386,0.0007961292,0.0005786559,0.005562],"category_scores_gemma":[0.002533993,0.0002534795,0.0005210576,0.0007394355,0.0003169299,0.001073917,0.0008750507,0.0007077708,0.001738785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003778727,"about_ca_system_score_gemma":0.0006214142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00231817,"about_ca_topic_score_gemma":0.002587345,"domain_scores_codex":[0.9997993,0.00003597214,0.000008742248,0.0000296725,0.0001010309,0.00002524092],"domain_scores_gemma":[0.9993648,0.0002256497,0.00003424002,0.0001478162,0.0002061766,0.0000214018],"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":[0.0001532425,0.00006455527,0.00196822,0.0001151164,0.00004115426,0.0001939775,0.0002557654,0.7514018,0.03415672,0.02176144,0.008070668,0.1818173],"study_design_scores_gemma":[0.00001595027,0.0000254146,0.0006107071,0.000009135637,0.000005162083,0.00008367065,0.0001056695,0.9680833,0.01435632,0.009040039,0.00764911,0.000015561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02993048,0.00003281159,0.9608247,0.0001971136,0.00005372043,0.00003326511,0.0005650417,0.002701645,0.00566118],"genre_scores_gemma":[0.4323067,0.0001319203,0.5591161,0.0001367563,0.00003630047,0.00009422426,0.003113931,0.001088707,0.003975381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005562,"threshold_uncertainty_score":0.01860678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04946562051799779,"score_gpt":0.2588606827716164,"score_spread":0.2093950622536186,"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."}}