{"id":"W1726943782","doi":"10.1109/aps.2001.959555","title":"Design of broadband radar absorbers with genetic algorithm","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Broadband; Radar; Reflection coefficient; Bandwidth (computing); Genetic algorithm; Transformer; Computer science; Materials science; Electronic engineering; Optics; Engineering; Electrical engineering; Telecommunications; Physics","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":[0.00001779915,0.000086203,0.0001175596,0.00004204456,0.00001227523,0.000003304001,0.00007865605,0.00003625043,0.00009676655],"category_scores_gemma":[0.000003459324,0.0000634883,0.00001418015,0.0001152877,0.00005135308,0.00004559259,0.000006719015,0.00005274819,0.00001769922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008620823,"about_ca_system_score_gemma":0.000001384082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002402704,"about_ca_topic_score_gemma":5.498961e-7,"domain_scores_codex":[0.9996229,0.000003496353,0.00008994177,0.00007590127,0.0000704826,0.0001372214],"domain_scores_gemma":[0.9997923,0.00001710329,0.00001286012,0.0001437174,0.00001376567,0.0000202085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006873874,0.00004286041,0.0001664815,0.0000678754,0.0001338337,0.00003765401,0.0002537851,0.3425062,0.09871731,0.0001212636,0.002032043,0.5559138],"study_design_scores_gemma":[0.001243048,0.0003664194,0.0004580058,0.00006316126,0.00005801692,0.00008564529,0.0005663584,0.6680003,0.3228203,0.00080561,0.004928052,0.0006050524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01576886,0.002047359,0.9798455,0.00001365974,0.00003337256,0.0000941798,0.000001368334,0.0005413443,0.001654338],"genre_scores_gemma":[0.2539406,0.0008248391,0.7446932,0.000007254375,0.000004690641,0.000004720372,2.346263e-7,0.00001882868,0.0005056665],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5553088,"threshold_uncertainty_score":0.2588978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0161492283732377,"score_gpt":0.1875768681681216,"score_spread":0.1714276397948839,"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."}}