{"id":"W4288788028","doi":"10.1109/access.2022.3194850","title":"Self-Sustained Rigid Fully Metallic Metasurfaces to Enhance Gain of Shortened Horn Antennas","year":2022,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eurostars; University of Ottawa; U.S. Air Force; University of Engineering and Technology, Taxila; National University of Sciences and Technology; University of Moratuwa; Macquarie University; Australian Research Council; Department of Defence, Australian Government; Royal Society; University of Engineering and Technology, Lahore; University of Technology Sydney; Cisco Systems","keywords":"Horn antenna; Directivity; Aperture (computer memory); French horn; Materials science; Optics; Bandwidth (computing); Antenna gain; Center frequency; Feed horn; Polarization (electrochemistry); Antenna aperture; Optoelectronics; Directional antenna; Antenna (radio); Dipole antenna; Physics; Acoustics; Electrical engineering; Computer science; Telecommunications; Band-pass filter; Slot antenna; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003267321,0.0002853607,0.0005284418,0.0002704166,0.0001398322,0.00004133306,0.001098423,0.00006095214,0.00008046663],"category_scores_gemma":[0.00006543298,0.0002799585,0.000130318,0.001061313,0.00005021094,0.0003816973,0.0002722544,0.0002903906,0.00001426529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000110833,"about_ca_system_score_gemma":0.00003299695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001966807,"about_ca_topic_score_gemma":0.00002372975,"domain_scores_codex":[0.9982868,0.00005063061,0.0004212337,0.0003645979,0.0003756232,0.0005011176],"domain_scores_gemma":[0.9990641,0.00007277379,0.00009795747,0.0005716079,0.0001048057,0.00008870359],"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":[0.00007213694,0.0001381012,0.0003466544,0.0002557205,0.0004810909,0.0000694772,0.0004549811,0.1959236,0.7933771,0.0005405324,0.001249311,0.00709123],"study_design_scores_gemma":[0.0003212828,0.0002272786,0.0002071616,0.00002357787,0.000149056,0.00001412042,0.001456479,0.01402461,0.9543901,0.001948823,0.02653151,0.0007060074],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617795,0.002229965,0.03231442,0.000187353,0.0006868691,0.000514483,0.00006646936,0.001553883,0.0006671014],"genre_scores_gemma":[0.9867417,0.0002872324,0.01234659,0.00008876117,0.00001888372,0.0001880321,0.000006510135,0.00005957787,0.0002627769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.181899,"threshold_uncertainty_score":0.9999653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674156751071033,"score_gpt":0.2869603306793406,"score_spread":0.2702187631686302,"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."}}