{"id":"W4386494801","doi":"10.1109/usnc-ursi52151.2023.10237577","title":"Dual-Band Metamaterial Absorber for Terahertz Sensitivity Applications","year":2023,"lang":"en","type":"article","venue":"","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Terahertz radiation; Gallium arsenide; Metamaterial absorber; Materials science; Permittivity; Optoelectronics; Metamaterial; Refractive index; Substrate (aquarium); Absorption (acoustics); Multi-band device; Optics; Sensitivity (control systems); Dielectric; Physics; Tunable metamaterials; Electronic engineering; Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001331546,0.0003664674,0.0003349431,0.0003317207,0.0001851586,0.0003545139,0.0005173179,0.0006503366,0.0008632665],"category_scores_gemma":[0.0001429852,0.0002027314,0.0004253794,0.0002226542,0.000160867,0.0004402645,0.0003046903,0.0003881114,0.0006379177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002629115,"about_ca_system_score_gemma":0.0001206487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007118552,"about_ca_topic_score_gemma":0.000158101,"domain_scores_codex":[0.9998655,0.00001552729,0.00000627616,0.00004109364,0.00004643903,0.0000249846],"domain_scores_gemma":[0.9998956,0.00001881927,0.00003776055,0.0000147303,0.00002326604,0.00000982193],"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":[0.00003378846,0.00001412225,0.00007139848,0.00003704896,0.000006023038,0.00003804369,0.000009182828,0.0002718356,0.9941158,0.0006564324,0.0000639108,0.004682363],"study_design_scores_gemma":[0.00001228115,0.000201785,0.000576771,0.000006888708,0.00002682793,0.0005326042,0.00001281887,0.01230878,0.9793169,0.0002444371,0.006745609,0.0000142368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6239839,0.004174774,0.3606572,0.000525037,0.0002013449,0.00007847272,0.0001538207,0.001261455,0.008964003],"genre_scores_gemma":[0.8283545,0.0009410456,0.1647094,0.0001590874,0.00006826488,0.00005786596,0.00008546581,0.0000549121,0.005569506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008632665,"threshold_uncertainty_score":0.002887845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0336330225272852,"score_gpt":0.2991130396088623,"score_spread":0.2654800170815771,"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."}}