{"id":"W3163533311","doi":"10.1364/oe.425123","title":"Ultrasensitive nanoplasmonic biosensor based on interferometric excitation of multipolar plasmonic modes","year":2021,"lang":"en","type":"article","venue":"Optics Express","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Biosensor; Interferometry; Optics; Excitation; Materials science; Plasmon; Surface plasmon polariton; Surface plasmon; Analyte; Resolution (logic); Optoelectronics; Physics; Nanotechnology; 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":[0.0002342729,0.0004515748,0.0003102716,0.0002666959,0.0001412343,0.000457433,0.0006245869,0.0006743151,0.0003349041],"category_scores_gemma":[0.0002581179,0.0003417981,0.0001795903,0.000151178,0.0004288825,0.0004286473,0.000333568,0.0005430551,0.0003163434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003609073,"about_ca_system_score_gemma":0.0002170985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002125965,"about_ca_topic_score_gemma":0.0003590216,"domain_scores_codex":[0.9997609,0.00003255786,0.00001050848,0.00005325237,0.0001170826,0.0000256893],"domain_scores_gemma":[0.999886,0.00003339337,0.00003253084,0.00001202837,0.00002075598,0.00001519707],"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":[0.00001663563,0.00001446509,0.00009885075,0.00002360142,0.000002794569,0.00001593551,0.000008766352,0.0002699548,0.9965172,0.0004093721,0.00003838648,0.002583996],"study_design_scores_gemma":[0.000005980155,0.00007165863,0.0002542523,0.000002419983,0.000004789671,0.00008656392,0.000007435484,0.01275085,0.9858807,0.0001116352,0.0008137107,0.0000100759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5876205,0.002388176,0.4027629,0.0005776972,0.0002231144,0.0001853578,0.0002729482,0.001459269,0.004510091],"genre_scores_gemma":[0.7755162,0.001031402,0.2212074,0.0002390314,0.00003458044,0.0001192034,0.0001228875,0.00003235237,0.001696951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006743151,"threshold_uncertainty_score":0.002618551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793449737879188,"score_gpt":0.2393027873310531,"score_spread":0.2213682899522613,"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."}}