{"id":"W3131140408","doi":"10.1109/ieeeconf35879.2020.9329648","title":"Optimization of dual-band notched UWB Trapezoidal Antenna using Genetic Algorithm Approach","year":2020,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Standing wave ratio; Ultra-wideband; Omnidirectional antenna; Multi-band device; Wideband; Bandwidth (computing); Radiation pattern; Antenna (radio); Computer science; Planar; Ranging; Electronic engineering; Telecommunications; Microstrip antenna; Engineering","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":[0.0002211261,0.0004317949,0.0004561946,0.00044362,0.0001690285,0.0005049558,0.0004424453,0.0005631904,0.0008507165],"category_scores_gemma":[0.000482392,0.0002303534,0.0004555607,0.0004568306,0.0002935164,0.000197764,0.0002917456,0.0002071131,0.0001558914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003360264,"about_ca_system_score_gemma":0.0004176551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00125062,"about_ca_topic_score_gemma":0.001161817,"domain_scores_codex":[0.9998828,0.00002949585,0.000005082236,0.00002204503,0.00003778074,0.00002272532],"domain_scores_gemma":[0.9998815,0.00004773295,0.00002045431,0.0000087138,0.00003437616,0.000007234501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003665857,0.00002196704,0.0004316406,0.0000491624,0.00002835338,0.00007001487,0.00002930214,0.9608454,0.01550567,0.002677336,0.0002502694,0.02005432],"study_design_scores_gemma":[0.000008300631,0.00003952434,0.0001353787,0.000004993969,0.000009930784,0.00002657063,0.00001423051,0.9969451,0.001901277,0.0004896504,0.0004208267,0.000004250965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.184998,0.0005062204,0.8041508,0.0001294673,0.00005624712,0.00006517267,0.00005494028,0.0003089732,0.009730344],"genre_scores_gemma":[0.779766,0.0003022094,0.2162773,0.00005900257,0.000008411117,0.000159817,0.0000879134,0.00004581127,0.003293636],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00125062,"threshold_uncertainty_score":0.002845883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256289037271469,"score_gpt":0.2036973206099103,"score_spread":0.1811344302371956,"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."}}