{"id":"W1991935901","doi":"10.1002/mop.28521","title":"<scp>UWB</scp>antenna size reduction methods using fractal, matrix, and serrated structures","year":2014,"lang":"en","type":"article","venue":"Microwave and Optical Technology Letters","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Fractal antenna; Bandwidth (computing); Return loss; Radiation pattern; Microwave; Directional antenna; Fractal; Electrical engineering; Physics; Electronic engineering; Engineering; Topology (electrical circuits); Antenna (radio); Antenna efficiency; Telecommunications; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001672968,0.0002186531,0.0003250424,0.0002400404,0.0001085594,0.0000562857,0.00009942708,0.0003140927,0.00000527102],"category_scores_gemma":[0.00015982,0.0002002928,0.00005302392,0.0003535148,0.000366942,0.0000913565,0.00005723682,0.0003832001,0.000004107431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002223916,"about_ca_system_score_gemma":0.000003562011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004448548,"about_ca_topic_score_gemma":6.89482e-7,"domain_scores_codex":[0.9990411,0.00004293774,0.0002170335,0.0002961521,0.00006052453,0.0003422099],"domain_scores_gemma":[0.9995461,0.0001298471,0.00003556888,0.0001864614,0.00002623576,0.0000758414],"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":[0.000002138256,0.000004576628,0.0002130294,0.00002667537,0.00009552915,0.000009413847,0.00004402205,0.0000356478,0.9948949,0.0008585295,0.0001570767,0.003658526],"study_design_scores_gemma":[0.001196885,0.000142236,0.001962658,0.000103364,0.000653406,0.001239847,0.001592281,0.3657587,0.611216,0.01198705,0.003497418,0.0006501132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6634295,0.0007016683,0.3348258,0.000633151,0.00006994349,0.00005192836,0.000001104954,0.000244861,0.00004200047],"genre_scores_gemma":[0.8651384,0.0001173955,0.1343905,0.0002190205,0.00006044964,0.000002872451,0.000002578003,0.00002948403,0.00003933317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3836788,"threshold_uncertainty_score":0.8167703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009585362622512675,"score_gpt":0.2525809129757605,"score_spread":0.2429955503532478,"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."}}