{"id":"W3006572250","doi":"10.1109/ieeeconf35879.2020.9330280","title":"Full-Wave Verification of an Electromagnetic Inversion Metasurface Design Method","year":2020,"lang":"en","type":"article","venue":"","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Inversion (geology); Computer science; Admittance; Software; Electromagnetics; Electromagnetic simulation; Electronic engineering; Topology (electrical circuits); Electrical impedance; Electrical engineering; Engineering; Geology","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":[0.0006183279,0.0003626411,0.000237436,0.0002550003,0.0001921562,0.0005160652,0.0005637406,0.0005489031,0.002354628],"category_scores_gemma":[0.001243132,0.0001519003,0.0003035997,0.0001180697,0.0003582966,0.0005140557,0.0004087536,0.0003992013,0.0005347497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003829213,"about_ca_system_score_gemma":0.0005294716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004433017,"about_ca_topic_score_gemma":0.0003947361,"domain_scores_codex":[0.9996526,0.00005597236,0.00001041108,0.00002118741,0.0002378116,0.00002199613],"domain_scores_gemma":[0.9996318,0.0001098351,0.00003182106,0.00009215328,0.0001229873,0.00001141381],"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":[0.0003359403,0.0001658992,0.001092643,0.0002540971,0.00005373143,0.0003733173,0.0002234644,0.3478081,0.4542709,0.1013256,0.001711684,0.0923846],"study_design_scores_gemma":[0.00003822024,0.0001283054,0.0002414474,0.00001456532,0.000008441516,0.0001220388,0.00002485317,0.8772479,0.114208,0.002701523,0.005251172,0.00001352788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0985674,0.00007130967,0.8784894,0.0002410149,0.00005870401,0.0001152246,0.0001600865,0.0007531432,0.02154364],"genre_scores_gemma":[0.6166406,0.00006826173,0.3779655,0.00004662777,0.0000108972,0.0001171459,0.0001120204,0.0001284396,0.004910553],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002354628,"threshold_uncertainty_score":0.007876992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08565320716286255,"score_gpt":0.2911467346159082,"score_spread":0.2054935274530457,"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."}}