{"id":"W4391743766","doi":"10.21203/rs.3.rs-3937868/v1","title":"Achieving High Efficiency, Super Broadband, Ultra-Thin, and Advanced Electromagnetic Absorption for S, C, X, Ku, K, Ka, V, W, and Millimeter Band Radar Applications","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec; Université du Québec à Montréal","funders":"","keywords":"Millimeter; Broadband; Extremely high frequency; Radar; Absorption (acoustics); Ka band; Physics; Materials science; Optoelectronics; Telecommunications; Optics; 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":[0.0001082196,0.0002952956,0.0001883594,0.0001942411,0.000149363,0.0004422805,0.0003022337,0.0005463096,0.001342994],"category_scores_gemma":[0.0001678514,0.0001512912,0.0003059309,0.0001984085,0.0001873424,0.0004899902,0.0003457168,0.0003002961,0.0006385077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000189727,"about_ca_system_score_gemma":0.0001122622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008041593,"about_ca_topic_score_gemma":0.0001751068,"domain_scores_codex":[0.999925,0.000006340818,0.000003528423,0.00001390369,0.00003586465,0.00001531276],"domain_scores_gemma":[0.9999073,0.00001474748,0.00003562301,0.00001383108,0.0000210411,0.000007385065],"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":[0.00001830411,0.000009921128,0.0001747005,0.00004139611,0.000005647166,0.00005312461,0.00001847888,0.0002965007,0.9948707,0.001157215,0.0001920914,0.003161876],"study_design_scores_gemma":[0.00000898827,0.0001275896,0.0007409587,0.000008328154,0.0000105392,0.0003894635,0.00003533733,0.007912051,0.9848089,0.0003444915,0.005604471,0.000008852465],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8830985,0.001888804,0.09711146,0.000447078,0.0001590523,0.0000279845,0.0001335154,0.0006358908,0.0164977],"genre_scores_gemma":[0.9575732,0.0006407843,0.03601469,0.00009192999,0.00002960894,0.0000207225,0.000106929,0.00005783488,0.005464382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001342994,"threshold_uncertainty_score":0.0044927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01964571079736764,"score_gpt":0.3070932454668944,"score_spread":0.2874475346695267,"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."}}