{"id":"W3106371867","doi":"","title":"Passive Lossless Huygens Metasurfaces for Conversion of Arbitrary Source Field to Directive Radiation","year":2016,"lang":"en","type":"article","venue":"","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":143,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Wavefront; Physics; Near and far field; Optics; Lossless compression; Electrical impedance; Source field; Aperture (computer memory); Plane wave; Directivity; Computer science; Scalar (mathematics); Acoustics; Antenna (radio); Geometry; Mathematics; Telecommunications; Algorithm","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":[0.0001780398,0.0003714885,0.0002189791,0.0001530713,0.00009824066,0.000434152,0.0004832455,0.0003804104,0.001085352],"category_scores_gemma":[0.0002962374,0.0001642128,0.0002864799,0.0001655827,0.0004335706,0.0005008283,0.0004154694,0.0003252581,0.0004253531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002871047,"about_ca_system_score_gemma":0.0001433071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007188309,"about_ca_topic_score_gemma":0.0001044888,"domain_scores_codex":[0.9998804,0.00002832178,0.000005025965,0.00001389309,0.00006474961,0.00000760268],"domain_scores_gemma":[0.9998893,0.00003652571,0.00002753429,0.00002204685,0.00001911471,0.000005526218],"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":[0.00009209848,0.0000531101,0.0002804902,0.0002248131,0.00003266627,0.0002470857,0.0001440808,0.08515823,0.7348939,0.1470757,0.0009370771,0.03086072],"study_design_scores_gemma":[0.00003062965,0.0001629462,0.0003004344,0.00002544421,0.00001764336,0.0003745577,0.00003970263,0.7869697,0.1832236,0.01792796,0.01090755,0.00001987821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07051438,0.0002720618,0.9169053,0.0001429892,0.00005821948,0.00003322483,0.00004625753,0.0003578286,0.01166977],"genre_scores_gemma":[0.7582181,0.0004196482,0.2319504,0.0001148728,0.00003976338,0.00007569074,0.00006343854,0.00008637585,0.009031698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001085352,"threshold_uncertainty_score":0.003630817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01518233480555264,"score_gpt":0.2650535617481201,"score_spread":0.2498712269425674,"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."}}