{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001483324,0.0002331447,0.0001474538,0.0002298374,0.00008873604,0.0003274538,0.000297683,0.0002393959,0.001186104],"category_scores_gemma":[0.0003149336,0.0001344512,0.000170908,0.0001753686,0.0002710492,0.0002309326,0.0001710002,0.0001788427,0.0004816306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001316997,"about_ca_system_score_gemma":0.00007758795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009061729,"about_ca_topic_score_gemma":0.0001796521,"domain_scores_codex":[0.9999003,0.0000212928,0.000005867241,0.00001295992,0.00004749469,0.00001213912],"domain_scores_gemma":[0.9997398,0.00005789929,0.00007540833,0.0000638278,0.00004758548,0.00001542853],"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":[0.0001419542,0.00003205583,0.00030432,0.0001118891,0.00001904452,0.0001782911,0.00006726759,0.009095617,0.9204428,0.005948109,0.001883455,0.06177513],"study_design_scores_gemma":[0.00004920675,0.0007035296,0.002300596,0.00001769219,0.00003303103,0.001698548,0.00006521273,0.1588132,0.8115331,0.002244728,0.02250465,0.00003652295],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4601308,0.0006743096,0.5180783,0.0002838256,0.0001863786,0.00003975858,0.00007508705,0.001254299,0.01927723],"genre_scores_gemma":[0.8196589,0.0001395194,0.1768209,0.00004461621,0.00003305258,0.00001901939,0.00007843976,0.00005769467,0.003147896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001186104,"threshold_uncertainty_score":0.003967881,"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."}}