{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003669089,0.0004013808,0.00045779,0.0005623389,0.000292108,0.0007466146,0.0006582754,0.0006942165,0.002224933],"category_scores_gemma":[0.001305992,0.000266848,0.0004023224,0.0004442037,0.0005373962,0.000772518,0.0007513376,0.0005189822,0.000376218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005808848,"about_ca_system_score_gemma":0.000697011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223872,"about_ca_topic_score_gemma":0.001446749,"domain_scores_codex":[0.9997744,0.00004199845,0.00001196593,0.00001830186,0.0001231868,0.00003017728],"domain_scores_gemma":[0.999592,0.0001716616,0.00004056457,0.00005846347,0.0001113745,0.00002594207],"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":[0.0001183909,0.00008269112,0.00223274,0.0002472751,0.00002599779,0.0005332498,0.0003353593,0.7398903,0.04110951,0.1429106,0.002398432,0.07011548],"study_design_scores_gemma":[0.000007419797,0.00001194232,0.00008313359,0.00001069894,0.000002224477,0.0001004821,0.00003085627,0.9916359,0.003025839,0.004029061,0.00105395,0.000008522545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02904797,0.0001398641,0.962922,0.00007358396,0.00003575009,0.00002739944,0.00006038467,0.0001389842,0.007553975],"genre_scores_gemma":[0.5622062,0.0003327979,0.431545,0.00008466251,0.00002138659,0.00009377122,0.0001771779,0.0001286653,0.005410338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002224933,"threshold_uncertainty_score":0.00744313,"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."}}