{"id":"W4390659309","doi":"10.1109/tap.2023.3348593","title":"Local and Nonlocal Wire-Grid Metasurface Stacks for Spatial and Frequency Filtering","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Transverse plane; Physics; Optics; Frequency band; Acoustics; Bandwidth (computing); Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006027949,0.0002767219,0.0002285276,0.0001649044,0.00009384187,0.0003248537,0.0002911696,0.0002912623,0.000656543],"category_scores_gemma":[0.0001003774,0.00009869239,0.0001592146,0.0002284352,0.0001564089,0.0003186411,0.0002266629,0.0001700923,0.0002889054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001830996,"about_ca_system_score_gemma":0.00006617389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009869927,"about_ca_topic_score_gemma":0.0003328222,"domain_scores_codex":[0.9999623,0.000005083755,0.000002434244,0.000008324871,0.00001431069,0.000007567437],"domain_scores_gemma":[0.9999315,0.00001309267,0.00002335384,0.0000159243,0.00001099237,0.000005160896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007024375,0.00002126157,0.0002954446,0.00008435282,0.00001971355,0.0001098853,0.00002776167,0.004658596,0.978203,0.004991097,0.0002473498,0.01127134],"study_design_scores_gemma":[0.00001705304,0.0002805844,0.0008605027,0.00001396408,0.00003541397,0.0003025388,0.00004930257,0.103067,0.888599,0.001448494,0.005310516,0.00001563836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8500998,0.001342208,0.1357931,0.0001340462,0.00007730139,0.00002264537,0.0001301364,0.0005914287,0.01180935],"genre_scores_gemma":[0.9764988,0.0002299994,0.02172606,0.00002307577,0.00000914463,0.00001155309,0.00004414927,0.00002311398,0.001434029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000656543,"threshold_uncertainty_score":0.002196372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02213021906946129,"score_gpt":0.2634387728711923,"score_spread":0.241308553801731,"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."}}