{"id":"W2514646276","doi":"10.1109/antem.2016.7550148","title":"Wide stop-band angular stable frequency selective surface for millimeter-wave applications","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Extremely high frequency; Millimeter; Tunable metamaterials; Electromagnetic shielding; Optics; Selective surface; Frequency band; Angular velocity; Surface wave; Physics; Materials science; Optoelectronics; Bandwidth (computing); Telecommunications; Metamaterial; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.00006668451,0.0001456316,0.000168612,0.00004287527,0.00006789033,0.00001043986,0.0001113701,0.00008158242,0.000032516],"category_scores_gemma":[0.00005226245,0.0001006751,0.0000542495,0.0001665728,0.00005188353,0.0001721599,0.00001233419,0.00005683105,0.00003147209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007523409,"about_ca_system_score_gemma":0.00001207474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007078714,"about_ca_topic_score_gemma":0.00001739181,"domain_scores_codex":[0.9992725,0.000005087639,0.0001426046,0.0002020424,0.00006546138,0.0003122739],"domain_scores_gemma":[0.9994301,0.000151466,0.00002300509,0.0002699864,0.00008235483,0.00004305033],"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":[0.000004655122,0.00001826949,0.0004164495,0.00003391482,0.00007156237,9.400021e-7,0.00004078683,0.001413623,0.9829562,0.003536043,0.001926531,0.009581065],"study_design_scores_gemma":[0.000421031,0.00006037743,0.0001673974,0.00001679506,0.00002509837,0.000002608813,0.0001629052,0.0006320155,0.9320999,0.02843384,0.03768615,0.0002918841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0893211,0.001114832,0.9049945,0.000162865,0.00005529807,0.0005631546,0.00008021286,0.001102241,0.002605725],"genre_scores_gemma":[0.8921226,0.0002413227,0.1054806,0.00002379777,0.00001645284,0.0001805954,0.000006353767,0.00003675581,0.001891482],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8028015,"threshold_uncertainty_score":0.4105412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713989962163422,"score_gpt":0.2228378206424671,"score_spread":0.2056979210208329,"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."}}