{"id":"W2147308646","doi":"10.1109/tap.2004.832515","title":"Two-Dimensional FDTD Inverse-Scattering Scheme for Determination of Near-Surface Material Properties at Microwave Frequencies","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Finite-difference time-domain method; Inverse scattering problem; Microwave imaging; Robustness (evolution); Inverse problem; Scattering; Inverse; Algorithm; Microwave; Mathematical analysis; Estimation theory; Time domain; Mathematics; Physics; Optics; Computer science; Geometry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001021978,0.0001228893,0.0001384024,0.00003863642,0.0001383026,0.00002677933,0.00003341947,0.00005842548,0.00002807095],"category_scores_gemma":[0.00000541701,0.0001124538,0.00004648012,0.00009679724,0.00008219108,0.0001269638,9.175723e-7,0.00006455077,0.000003374804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007201413,"about_ca_system_score_gemma":0.00001760111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002187877,"about_ca_topic_score_gemma":0.00002384133,"domain_scores_codex":[0.9993777,0.00002330787,0.0002219652,0.0001395923,0.0001014621,0.000136004],"domain_scores_gemma":[0.9997311,0.00003396346,0.00004206533,0.00007754068,0.00007451753,0.00004085124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009559956,0.00002179545,0.000005954939,0.00009899762,0.00001034368,2.952632e-7,0.0002210045,0.05372096,0.9368206,0.00001441671,0.000002161818,0.008987857],"study_design_scores_gemma":[0.000615588,0.0001988887,0.00007868185,0.00006664767,0.00001453924,0.000009448031,0.00001992128,0.2228311,0.7758626,0.0001710003,0.0000176031,0.0001139482],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.672122,0.00003658396,0.3272178,0.0000851457,0.0001986004,0.0002410522,0.00001245865,0.00006065575,0.00002572558],"genre_scores_gemma":[0.9185795,0.0000176389,0.08123059,0.00004108685,0.00001815624,0.00002676661,0.000006216623,0.00001970546,0.0000603757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2464575,"threshold_uncertainty_score":0.4585732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02297117414106024,"score_gpt":0.2448569345944596,"score_spread":0.2218857604533994,"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."}}