{"id":"W1695261166","doi":"10.1117/12.841449","title":"The use of aluminum nanostructures as platforms for metal enhanced fluorescence of the intrinsic emission of biomolecules in the ultra-violet","year":2010,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lumerical Solutions (Canada)","funders":"National Institute of Biomedical Imaging and Bioengineering; National Human Genome Research Institute","keywords":"Biomolecule; Nanostructure; Materials science; Fluorescence; Plasmon; Nanoparticle; Nanotechnology; Aluminium; Excited state; Optoelectronics; Optics; Physics; Atomic physics; Composite material","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":[0.0001815732,0.0002083581,0.0001333506,0.0001087788,0.0001850515,0.0004395015,0.000416822,0.0003009146,0.0003748407],"category_scores_gemma":[0.0002498085,0.0001732563,0.0002531371,0.00006354188,0.0002617046,0.0004330856,0.0002793358,0.0002448497,0.0001359225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002946511,"about_ca_system_score_gemma":0.0001565542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005310309,"about_ca_topic_score_gemma":0.0006476519,"domain_scores_codex":[0.9999312,0.00001430382,0.000002294584,0.00001349576,0.00002425369,0.00001454094],"domain_scores_gemma":[0.9999275,0.00002587056,0.00001502353,0.000008672457,0.00001680127,0.000006064174],"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":[0.00004529926,0.00001528836,0.0002257907,0.0000477303,0.000007217862,0.0001001824,0.00004466204,0.004726695,0.9904845,0.001539984,0.00004117125,0.002721471],"study_design_scores_gemma":[0.00001656718,0.0001825515,0.0004010813,0.000008100785,0.00001503322,0.00008992859,0.00003637465,0.0322539,0.9651649,0.0003766535,0.001444052,0.00001080638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.956619,0.0007883327,0.03847009,0.0002101999,0.00004013128,0.00002250253,0.00003113135,0.0001738091,0.003644737],"genre_scores_gemma":[0.9726014,0.0003325417,0.02567985,0.00003410659,0.000003929887,0.00001275561,0.00001818902,0.00001576262,0.00130143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005310309,"threshold_uncertainty_score":0.002137899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267678247468028,"score_gpt":0.2351921533740081,"score_spread":0.2225153708993278,"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."}}