{"id":"W4405811860","doi":"10.1109/lawp.2024.3521031","title":"Efficient Analytical Design Strategy for High-Gain Nonresonant Partially-Reflective-Surface Antennas","year":2024,"lang":"en","type":"article","venue":"IEEE Antennas and Wireless Propagation Letters","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"High-gain antenna; Directional antenna; Electronic engineering; Reflective array antenna; Computer science; Physics; Materials science; Antenna (radio); Optics; Slot antenna; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003451947,0.0003310855,0.0003523092,0.0001460869,0.0001435796,0.0001568225,0.0001446182,0.0001336632,0.000005008621],"category_scores_gemma":[0.00002855066,0.0002720137,0.00009485936,0.0003547199,0.0001934801,0.0001570735,0.00002000801,0.0002607793,0.00001570544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008091555,"about_ca_system_score_gemma":0.00003317801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000088125,"about_ca_topic_score_gemma":0.000004432081,"domain_scores_codex":[0.9983742,0.00004442942,0.0003613845,0.0004816254,0.0002048393,0.000533542],"domain_scores_gemma":[0.999395,0.0001881683,0.00004083159,0.0002034226,0.0000778008,0.00009476067],"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":[0.00005372753,0.0000238671,0.00001290627,0.000180658,0.00009044512,0.00004875608,0.0001216121,0.2757514,0.7097157,0.002773795,0.0005026498,0.01072444],"study_design_scores_gemma":[0.000418566,0.0001273777,0.0001028769,0.000168851,0.00005981019,0.00001476612,0.0001597205,0.8779207,0.1199483,0.0004644888,0.0002510527,0.000363463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4552599,0.0007606234,0.541636,0.0008729034,0.0003608141,0.0004223701,0.00002486879,0.0006535565,0.000008851388],"genre_scores_gemma":[0.9949165,0.0003479139,0.004243699,0.0001613521,0.000101314,0.00008219388,0.00001268652,0.00007034881,0.00006402155],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6021693,"threshold_uncertainty_score":0.9999732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03125343860842254,"score_gpt":0.2712839991257028,"score_spread":0.2400305605172803,"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."}}