{"id":"W4296908688","doi":"10.1109/ap-s/usnc-ursi47032.2022.9887231","title":"Metasurface Superstrate for 5G Bandwidth and Gain Enhancement","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI)","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"European Regional Development Fund","keywords":"Bandwidth (computing); Metamaterial; Antenna gain; Split-ring resonator; Resonator; Multi-band device; High-gain antenna; Optoelectronics; Metamaterial antenna; Microstrip antenna; Patch antenna; Materials science; Optics; Physics; Electronic engineering; Antenna (radio); Computer science; Electrical engineering; Engineering; Antenna efficiency; Antenna factor; 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":[0.00008592426,0.0004214309,0.0002259567,0.0002389191,0.00009903225,0.000358638,0.0004008703,0.0005768344,0.0008940056],"category_scores_gemma":[0.0001382555,0.000128902,0.0003980149,0.0002085165,0.0001497541,0.0003470077,0.0002884243,0.0002541103,0.0005430373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002971533,"about_ca_system_score_gemma":0.00009495373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002312589,"about_ca_topic_score_gemma":0.0005107959,"domain_scores_codex":[0.999882,0.00001323683,0.00000477559,0.00001999863,0.00005484259,0.00002513991],"domain_scores_gemma":[0.9999127,0.00001536581,0.0000333616,0.00001576147,0.00001674164,0.000006107643],"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":[0.00006411223,0.00001603564,0.0002339211,0.00006776453,0.00002210824,0.0001689548,0.00002480844,0.001634868,0.9844594,0.00275016,0.0002463335,0.01031157],"study_design_scores_gemma":[0.00002122706,0.0004028056,0.001457989,0.00001459012,0.00005235846,0.0008700041,0.00004995932,0.02700204,0.9511614,0.0006601549,0.01828812,0.00001943548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7966343,0.003584002,0.1730295,0.0004222743,0.0002507494,0.00003193166,0.0001946862,0.001031093,0.02482162],"genre_scores_gemma":[0.9545143,0.0004487462,0.04243534,0.00007517905,0.00002598579,0.00001505294,0.0001076527,0.00003884499,0.002338926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008940056,"threshold_uncertainty_score":0.002990782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01604236251631888,"score_gpt":0.2469886340972435,"score_spread":0.2309462715809247,"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."}}