{"id":"W3124273551","doi":"10.15864/ajec.1101","title":"Reconfigurable Surface Design for Electromagnetic Wave Control","year":2020,"lang":"en","type":"article","venue":"American Journal of Electronics & Communication","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Tunable metamaterials; PIN diode; Scattering; Bandwidth (computing); Electromagnetic radiation; Surface (topology); Diode; Surface wave; Polarization (electrochemistry); Optics; Materials science; Electronic engineering; Computer science; Physics; Optoelectronics; Engineering; Telecommunications; Mathematics; Metamaterial; Chemistry","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":[0.0003297913,0.0001397419,0.0003673265,0.00004399478,0.00006691289,0.00002162239,0.0004359374,0.00003849741,0.00000600793],"category_scores_gemma":[0.0001747239,0.0001348897,0.0001004321,0.0002787614,0.00009469179,0.0001578009,0.000008882062,0.0004205478,0.000002803591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001077257,"about_ca_system_score_gemma":0.00007970289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001587738,"about_ca_topic_score_gemma":0.000002030082,"domain_scores_codex":[0.9990231,0.00009105863,0.000377338,0.00008529923,0.0001032317,0.000320004],"domain_scores_gemma":[0.9988114,0.000353187,0.0002893372,0.0002839051,0.0001871045,0.00007506515],"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":[0.0002972302,0.00003133625,0.00001638258,0.00002033362,0.0002289064,0.000001587672,0.0003198452,0.1303976,0.7930735,0.001423776,0.001190783,0.07299875],"study_design_scores_gemma":[0.004449754,0.01574974,0.0001050239,0.0001318499,0.0004809469,0.00018596,0.001993264,0.4621095,0.4303432,0.01801955,0.06535988,0.001071343],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2474246,0.0242893,0.7231848,0.004197254,0.0000446431,0.0003781024,0.000004820089,0.0002438045,0.0002326359],"genre_scores_gemma":[0.9101082,0.00792597,0.08172679,0.0001713136,0.00001688143,0.00000753863,0.000002447576,0.0000324238,0.000008420133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6626836,"threshold_uncertainty_score":0.5500644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199361246669982,"score_gpt":0.2320499969416105,"score_spread":0.2100563844749107,"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."}}