{"id":"W2039401589","doi":"10.1190/1.2336347","title":"A novel approach to the model appraisal and resolution analysis of regularized geophysical inversion","year":2006,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inversion (geology); Inverse problem; Lanczos resampling; Covariance; Inverse; Nonlinear system; Synthetic data; Inverse theory; Cauchy distribution; Applied mathematics; Algorithm; Geology; Mathematics; Geophysics; Eigenvalues and eigenvectors; Mathematical analysis; Statistics; Geometry; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002430813,0.0005466992,0.0006925968,0.001496987,0.0003328336,0.00131638,0.001094012,0.0007199942,0.001349289],"category_scores_gemma":[0.01095402,0.0004347907,0.000707344,0.0006343997,0.001067883,0.001600589,0.001599601,0.001141001,0.0002518878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006380231,"about_ca_system_score_gemma":0.0008475108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001441023,"about_ca_topic_score_gemma":0.001410071,"domain_scores_codex":[0.9988652,0.0005036382,0.00004047597,0.0001315819,0.0004003409,0.00005879236],"domain_scores_gemma":[0.9970334,0.001507417,0.0003141722,0.0004486185,0.000628543,0.00006792344],"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":[0.0001186425,0.00008477435,0.001120362,0.0001621027,0.0001137828,0.0002674204,0.000227628,0.6194676,0.030446,0.2096811,0.001320892,0.1369897],"study_design_scores_gemma":[0.000003588442,0.0000123382,0.00007178543,0.00000376955,0.000003304687,0.00002263804,0.00000530255,0.9846026,0.001240729,0.01361579,0.0004119172,0.000006236037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003172561,0.00003329835,0.9963499,0.00003612909,0.000008114426,0.0000103739,0.000009339798,0.00006427864,0.0003158666],"genre_scores_gemma":[0.145465,0.0001100758,0.8532149,0.000059984,0.00006642055,0.0000698907,0.00006355566,0.0001024163,0.0008477961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002430813,"threshold_uncertainty_score":0.01285553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01761789809210051,"score_gpt":0.2303383945214847,"score_spread":0.2127204964293841,"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."}}