{"id":"W2013957082","doi":"10.1109/usnc-ursi.2014.6955456","title":"Simultaneous high-order contrast source inversion of dielectric and magnetic targets","year":2014,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Inversion (geology); Inverse problem; Discretization; Solver; Computer science; Inverse; Dielectric; Magnetic field; Algorithm; Physics; Mathematics; Mathematical optimization; Mathematical analysis; Geometry; 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":[0.0003572653,0.000439065,0.0003214166,0.0003667143,0.0001649992,0.0005289211,0.0005161601,0.0003966867,0.000882078],"category_scores_gemma":[0.001719941,0.0002028587,0.0003739783,0.000255011,0.0003913842,0.0009640363,0.001017564,0.0007168602,0.0003143289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003029197,"about_ca_system_score_gemma":0.0008239379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00125331,"about_ca_topic_score_gemma":0.001965167,"domain_scores_codex":[0.9998462,0.00001836211,0.000006163589,0.00001808224,0.00009572906,0.00001540695],"domain_scores_gemma":[0.9995291,0.0002202075,0.00005966667,0.00005147151,0.0001159208,0.00002354527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003316816,0.0001227089,0.002127146,0.0002144365,0.00004881231,0.0004366908,0.0003985747,0.3788964,0.4304096,0.02945702,0.001023173,0.1565339],"study_design_scores_gemma":[0.0000206466,0.00005410144,0.0003406343,0.000007099651,0.0000105191,0.0002034379,0.00003579227,0.8742318,0.1185061,0.004506629,0.00206984,0.00001346946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0379912,0.00006559939,0.9600894,0.00008131086,0.00001631164,0.00002374761,0.00002903943,0.0002131347,0.001490195],"genre_scores_gemma":[0.4583859,0.0002153885,0.5365614,0.00008164436,0.00002124165,0.0000572281,0.0002219362,0.0001623539,0.004292841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00125331,"threshold_uncertainty_score":0.002950907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001925020051088224,"score_gpt":0.1574842636658408,"score_spread":0.1555592436147526,"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."}}