{"id":"W2055132920","doi":"10.1088/0266-5611/18/2/301","title":"Sensitivity analysis of a nonlinear inversion method for 3D electromagnetic imaging in anisotropic media","year":2002,"lang":"en","type":"article","venue":"Inverse Problems","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Air Force Office of Scientific Research; Lawrence Livermore National Laboratory; U.S. Department of Energy","keywords":"Residual; Inversion (geology); Isotropy; Mathematics; Nonlinear system; Sensitivity (control systems); Inverse problem; Operator (biology); Anisotropy; Mathematical analysis; Applied mathematics; Algorithm; Physics; Optics; Geology; Quantum mechanics","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":[0.00237437,0.0007440711,0.0003866065,0.0007456022,0.0003595547,0.0008248551,0.0005781312,0.0009039604,0.001408952],"category_scores_gemma":[0.006729412,0.0003638649,0.0008249108,0.0003575321,0.001399714,0.0007390703,0.001604124,0.0009304571,0.0002329688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008322551,"about_ca_system_score_gemma":0.0007245924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002855228,"about_ca_topic_score_gemma":0.001144175,"domain_scores_codex":[0.9992926,0.0003249983,0.00001968198,0.00006690097,0.0002549564,0.00004089293],"domain_scores_gemma":[0.9971962,0.002192427,0.0001438254,0.0001192916,0.0002950067,0.00005317272],"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":[0.00009259395,0.00003178234,0.0007086177,0.0001253304,0.00006932758,0.0001184687,0.0001453959,0.9141691,0.0228213,0.04201309,0.0004270812,0.01927794],"study_design_scores_gemma":[0.000001937787,0.00001063887,0.0001195614,0.000005635058,0.000004312735,0.00001994459,0.000004844404,0.9931968,0.001982071,0.004294134,0.0003505183,0.000009539621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01050688,0.00009448934,0.9874957,0.0001215025,0.00001513005,0.00003780949,0.0000260347,0.00009492295,0.001607654],"genre_scores_gemma":[0.6237906,0.0005752913,0.3679155,0.0003400375,0.00008579499,0.0002646286,0.0001892807,0.0003340071,0.006504882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002855228,"threshold_uncertainty_score":0.01255697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02025412720406111,"score_gpt":0.2427561043394679,"score_spread":0.2225019771354068,"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."}}