{"id":"W2100099688","doi":"10.1109/ccece.1998.685598","title":"Soil surface backscatter model using FDTD method","year":2002,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Scattering and Analysis","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Finite-difference time-domain method; Perfectly matched layer; Backscatter (email); Wetting; Field (mathematics); Surface (topology); Reflection coefficient; Reflection (computer programming); Materials science; Optics; Computational physics; Physics; Mathematics; Geometry; Computer science; Composite material; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008686019,0.0001247014,0.0001611541,0.00002972558,0.00008595559,0.00004810344,0.0001143893,0.00002173751,0.006860749],"category_scores_gemma":[6.696225e-7,0.0001091459,0.0001267709,0.0001421268,0.00001473577,0.00006517531,0.00003236333,0.00008775606,0.0002016791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000010163,"about_ca_system_score_gemma":0.000007076253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003428035,"about_ca_topic_score_gemma":0.000002141755,"domain_scores_codex":[0.9992372,0.00003249871,0.0001458985,0.0002209074,0.0001030685,0.0002604305],"domain_scores_gemma":[0.9996141,0.00002497877,0.00003818464,0.0002321492,0.00002647789,0.0000641141],"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":[0.000003610515,0.0003338102,0.01852414,0.00001611888,0.0003847308,0.000001899594,0.0005681087,0.6372262,0.2724747,0.003343145,0.0199718,0.04715171],"study_design_scores_gemma":[0.0001395523,0.00001007949,0.00002695208,0.000004955024,0.00006098754,8.872282e-7,0.00004256621,0.9840557,0.01376609,0.001546151,0.0001806523,0.000165451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5268288,0.00003708799,0.4316729,0.0004798957,0.00001845466,0.00002822112,0.000003171765,0.00003148724,0.04089992],"genre_scores_gemma":[0.9042359,0.000001292202,0.07083783,0.0002118708,0.00009601622,0.000001607849,0.000003155606,0.00001594288,0.0245964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3774071,"threshold_uncertainty_score":0.9940471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02752099412325876,"score_gpt":0.2735588764246675,"score_spread":0.2460378823014087,"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."}}