{"id":"W4388709749","doi":"10.1109/tnano.2023.3332555","title":"Performance Evaluation of a Fractal Plasmonic Bowtie Nano-Antenna: Optical and Far-Field Properties","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Nanotechnology","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Fractal; Robustness (evolution); Plasmon; Near and far field; Nano-; Optics; Polarization (electrochemistry); Physics; Mathematics; Optoelectronics; Topology (electrical circuits); Mathematical analysis; Combinatorics; Quantum mechanics; Chemistry","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":[0.0002619287,0.0003032109,0.0003251583,0.0002357639,0.0001336074,0.0004624953,0.0004033231,0.000683704,0.000706306],"category_scores_gemma":[0.0006525764,0.0001369067,0.0002793792,0.0002446047,0.0002259239,0.0004918374,0.000232682,0.000185835,0.0003738534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003883188,"about_ca_system_score_gemma":0.00007622253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000201208,"about_ca_topic_score_gemma":0.0001567258,"domain_scores_codex":[0.9998024,0.00003336021,0.000009312246,0.00004663469,0.00008167623,0.00002671855],"domain_scores_gemma":[0.9993802,0.000177295,0.0001137714,0.00009137373,0.0001951996,0.00004214773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003360323,0.00007506128,0.001209912,0.0001566975,0.00006302953,0.0001378065,0.00007818325,0.02022362,0.959311,0.001078845,0.0004576952,0.01687215],"study_design_scores_gemma":[0.00003276677,0.0009640498,0.003270904,0.00001848535,0.0000749431,0.0004440522,0.00007411352,0.2023793,0.789523,0.0004752835,0.002686963,0.00005623427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9606599,0.0008890308,0.03145865,0.0002509332,0.0001047553,0.00001654693,0.00008339418,0.0003834259,0.006153363],"genre_scores_gemma":[0.9913686,0.00017306,0.007339423,0.00004100357,0.0000143517,0.00001050736,0.00005410938,0.0000278997,0.0009712099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000706306,"threshold_uncertainty_score":0.002817512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0308402508834175,"score_gpt":0.2528627898595586,"score_spread":0.2220225389761411,"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."}}