{"id":"W1811925492","doi":"10.1002/dac.2587","title":"Design and performance of an efficient rectenna incorporating a fractal structure","year":2013,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rectenna; Fractal antenna; HFSS; Fractal; Antenna (radio); Rectifier (neural networks); Energy harvesting; Computer science; Return loss; Patch antenna; Topology (electrical circuits); Electrical engineering; Electronic engineering; Telecommunications; Power (physics); Microstrip antenna; Physics; Antenna efficiency; Mathematics; Engineering; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001621409,0.0002327399,0.0002850284,0.0001336546,0.000122157,0.0002925907,0.0003849702,0.0004819388,0.0006556889],"category_scores_gemma":[0.0002459159,0.0001546863,0.0002601217,0.0001523414,0.0001818982,0.0002944295,0.0001864127,0.0001580683,0.0004628455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002758353,"about_ca_system_score_gemma":0.0001354855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001463551,"about_ca_topic_score_gemma":0.0001429092,"domain_scores_codex":[0.9998723,0.00001803183,0.0000101606,0.00003742711,0.00004429253,0.00001775271],"domain_scores_gemma":[0.9997848,0.00003549143,0.0000643248,0.00005374487,0.00004653112,0.00001522094],"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":[0.0002372754,0.00003796765,0.0007318062,0.0001651736,0.00005300383,0.0002504073,0.0001015918,0.03079701,0.9418942,0.003685881,0.0006036276,0.02144211],"study_design_scores_gemma":[0.00009828511,0.001551135,0.004439133,0.00004751625,0.0001024044,0.001317957,0.00004695872,0.3309035,0.6354243,0.001539318,0.02444003,0.00008935401],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7488499,0.001102071,0.2327795,0.0002855363,0.0001451189,0.0000773105,0.0002043417,0.0007540403,0.01580209],"genre_scores_gemma":[0.9453037,0.0001852669,0.05210306,0.00004518777,0.00001732265,0.00003156673,0.000077775,0.00002290302,0.002213188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006556889,"threshold_uncertainty_score":0.002193451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265279160354151,"score_gpt":0.2295742786721043,"score_spread":0.2169214870685627,"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."}}