{"id":"W4321995296","doi":"10.5194/egusphere-egu23-10084","title":"A comprehensive study of gradient and smoothness regularization operators on unstructured tetrahedral meshes","year":2023,"lang":"en","type":"preprint","venue":"","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","funders":"","keywords":"Polygon mesh; Regularization (linguistics); Computer science; Inverse problem; Tetrahedron; Algorithm; Inversion (geology); Applied mathematics; Geometry; Mathematical optimization; Mathematics; Geology; Mathematical analysis; Artificial intelligence","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":[0.002482106,0.000870158,0.0008548716,0.001009259,0.0005387471,0.001481234,0.001324182,0.001630839,0.001777532],"category_scores_gemma":[0.006450079,0.0006047457,0.001640667,0.001242701,0.001430134,0.001774983,0.001201476,0.002456707,0.0006777543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007599888,"about_ca_system_score_gemma":0.0009920814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002652603,"about_ca_topic_score_gemma":0.00198378,"domain_scores_codex":[0.9985512,0.0003973858,0.00007768421,0.000139671,0.000761444,0.00007251192],"domain_scores_gemma":[0.997761,0.001255779,0.0001365888,0.0002351751,0.0005342965,0.00007721967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005653033,0.00007469096,0.0008590685,0.0005059232,0.00007233961,0.0002100896,0.0002936192,0.4169654,0.01317212,0.3935692,0.007987112,0.1662339],"study_design_scores_gemma":[0.000004833503,0.00003050455,0.0002127753,0.00006543945,0.000007630247,0.0001066,0.00002539015,0.9250586,0.002143647,0.05801585,0.01430541,0.0000233754],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002859107,0.001469247,0.9900972,0.0002856668,0.0001028251,0.00003978777,0.00005075899,0.0001246994,0.004970782],"genre_scores_gemma":[0.1513596,0.005502089,0.8292583,0.0003243192,0.0004358983,0.0002171431,0.0004841813,0.0006990253,0.01171942],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002652603,"threshold_uncertainty_score":0.01312679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04013377252801423,"score_gpt":0.2705646494213566,"score_spread":0.2304308768933424,"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."}}