{"id":"W4395037633","doi":"10.1190/geo2023-0566.1","title":"Surface geometry inversion of transient electromagnetic data","year":2024,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Allison University; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; National Key Research and Development Program of China; New Brunswick Innovation Foundation","keywords":"Geometry; Inversion (geology); Geology; Transient (computer programming); Surface (topology); Geophysics; Geodesy; Seismology; Mathematics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002686844,0.0003816932,0.0003092356,0.0004043217,0.0001589665,0.0003845187,0.0006105926,0.0003094247,0.001127662],"category_scores_gemma":[0.00139081,0.0001861755,0.0002804766,0.0003494338,0.0003752314,0.0004578082,0.0004218039,0.0004414706,0.0002824442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004017389,"about_ca_system_score_gemma":0.00050814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003434732,"about_ca_topic_score_gemma":0.00230266,"domain_scores_codex":[0.9998784,0.00002476719,0.000003508569,0.00001856403,0.000061233,0.00001354648],"domain_scores_gemma":[0.9996063,0.000153432,0.00004290749,0.00007051125,0.0001091888,0.00001776209],"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":[0.00004337748,0.0000252702,0.001407424,0.00001799104,0.00001174895,0.00005824228,0.00003910384,0.9449601,0.02174845,0.003843349,0.0004776105,0.02736728],"study_design_scores_gemma":[0.000002502525,0.000005930494,0.0001443752,8.229558e-7,7.365069e-7,0.000006945681,0.000006957409,0.996155,0.003009529,0.0004228003,0.0002422958,0.000002154178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1013124,0.00002523189,0.8936308,0.0001476256,0.00002071413,0.00003166149,0.0001653698,0.001270575,0.003395655],"genre_scores_gemma":[0.8391113,0.00002984055,0.1593731,0.00003434872,0.000009997201,0.00003149368,0.0003694086,0.0001544713,0.000886106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003434732,"threshold_uncertainty_score":0.006829441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02531332082897482,"score_gpt":0.2489199330966311,"score_spread":0.2236066122676563,"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."}}