{"id":"W2171566083","doi":"10.1109/tap.2010.2041156","title":"Comparison of TE and TM Inversions in the Framework of the Gauss-Newton Method","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Inversion (geology); Scattering; Gauss; Inverse scattering problem; Transverse plane; Inverse transform sampling; Magnetic field; Newton's method; Computational complexity theory; Inverse problem; Algorithm; Computational physics; Mathematics; Physics; Mathematical analysis; Optics; Quantum mechanics; Geology","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":[0.00163814,0.0005227108,0.0004586022,0.0006158254,0.0003567963,0.0008408893,0.000729087,0.0006179431,0.001213276],"category_scores_gemma":[0.007253954,0.0001861787,0.0003956142,0.0004422056,0.0004242965,0.0007396247,0.0006495376,0.0005543187,0.0003915984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002909695,"about_ca_system_score_gemma":0.001324571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008271305,"about_ca_topic_score_gemma":0.006877365,"domain_scores_codex":[0.9995694,0.0001544002,0.00002081949,0.00003665005,0.0001766846,0.00004200819],"domain_scores_gemma":[0.997628,0.001202535,0.0001144574,0.0001818028,0.0007943227,0.00007896343],"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":[0.0009230516,0.0001396657,0.004544552,0.0001518418,0.000136208,0.0001386883,0.0002486099,0.7948356,0.0126145,0.01611462,0.001927691,0.1682249],"study_design_scores_gemma":[0.00001495612,0.0000340863,0.0004712582,0.000006905544,0.000008013368,0.00003353388,0.00003078848,0.9956934,0.002188476,0.001001649,0.0005088849,0.000008088349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1497443,0.0003482332,0.836529,0.0002710793,0.00008076536,0.0000626567,0.0001098037,0.0010328,0.01182142],"genre_scores_gemma":[0.5445934,0.0003108243,0.4515859,0.00006675507,0.00004662624,0.0000588871,0.0003414974,0.0003013138,0.002694768],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008271305,"threshold_uncertainty_score":0.01644635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01966749943329825,"score_gpt":0.3096947120590554,"score_spread":0.2900272126257571,"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."}}