{"id":"W3135560447","doi":"10.1109/tap.2021.3060079","title":"Heuristic UTD Diffraction Coefficient for Three-Dimensional Dielectric Wedges","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Diffraction; Ray tracing (physics); Dielectric; Polarization (electrochemistry); Mathematical analysis; Uniform theory of diffraction; Geometrical optics; Optics; Wedge (geometry); Reflection coefficient; Geometry; Heuristic; Physics; Mathematics; Mathematical optimization","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":[0.0000614675,0.0001379521,0.0001430881,0.0001011145,0.0001893074,0.00002756487,0.00003354892,0.00008162163,0.00001405438],"category_scores_gemma":[0.00001620346,0.0001261491,0.00005878612,0.0002296846,0.00003967121,0.0001063896,6.567452e-7,0.0001579903,0.000007757208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003909055,"about_ca_system_score_gemma":0.0000171248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000024568,"about_ca_topic_score_gemma":0.00004696626,"domain_scores_codex":[0.9993399,0.00001076588,0.0001601147,0.0002023559,0.0001027477,0.0001841645],"domain_scores_gemma":[0.9996218,0.00008637709,0.0000270759,0.0001197274,0.0001061584,0.00003884055],"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":[0.0001157111,0.0002157608,0.00001680974,0.0002063774,0.00009253816,0.00001125154,0.00006731525,0.1680641,0.4504483,0.0006152846,0.0001283341,0.3800183],"study_design_scores_gemma":[0.0005806399,0.0001907438,0.0005263696,0.00007493568,0.00006731813,0.00003909064,0.0000802946,0.7663238,0.2295213,0.001035164,0.001302499,0.0002578413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09859768,0.0007602716,0.8992017,0.0002019999,0.0005525287,0.0002463829,0.00002572817,0.0003657402,0.00004796236],"genre_scores_gemma":[0.9974547,0.0004124211,0.001744916,0.00003470283,0.00002164867,0.00007490357,0.00001207293,0.00002277125,0.0002218629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.898857,"threshold_uncertainty_score":0.514421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01644443554789199,"score_gpt":0.2338859603467293,"score_spread":0.2174415247988373,"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."}}