{"id":"W1904810888","doi":"10.1109/usnc-ursi.2015.7303419","title":"Ray-oriented design of Huygens metasurfaces for multiple source excitation","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Excitation; Antenna (radio); Polarization (electrochemistry); Electromagnetics; Physics; Computer science; Metamaterial; Formalism (music); Optics; Electronic engineering; Engineering; Electrical engineering; Engineering physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001892424,0.0005357524,0.000322533,0.0002706277,0.0001296246,0.0005207736,0.0006029049,0.0006358151,0.001489584],"category_scores_gemma":[0.0003563647,0.0002812489,0.0003764164,0.000277012,0.0002831492,0.0003680308,0.0004915426,0.0004045423,0.0008289136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004395581,"about_ca_system_score_gemma":0.0002758413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001424232,"about_ca_topic_score_gemma":0.0001927686,"domain_scores_codex":[0.9998604,0.00002313329,0.000005879217,0.00002056052,0.00007308614,0.00001700958],"domain_scores_gemma":[0.999869,0.00002823166,0.00003241705,0.00001864568,0.00004120437,0.00001049297],"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":[0.0001222082,0.00006776892,0.0005116534,0.0002137814,0.00005175524,0.0002945653,0.0002021387,0.1310038,0.7063257,0.09474671,0.001835711,0.06462429],"study_design_scores_gemma":[0.00004142148,0.0001902011,0.0003374916,0.00002966828,0.00001957008,0.0003901776,0.00006325111,0.7193546,0.249366,0.009027516,0.02114507,0.00003508944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0572664,0.000340066,0.9224083,0.0001801652,0.00008628246,0.00006367873,0.00007894983,0.0005578728,0.01901822],"genre_scores_gemma":[0.4892332,0.0003686332,0.5030109,0.00009108592,0.00002806269,0.0001428736,0.0001257404,0.0001526095,0.00684689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001489584,"threshold_uncertainty_score":0.004983127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06844025973792099,"score_gpt":0.2575583529037442,"score_spread":0.1891180931658232,"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."}}