{"id":"W2079603800","doi":"10.1021/ac802118s","title":"Aluminum Nanoparticles as Substrates for Metal-Enhanced Fluorescence in the Ultraviolet for the Label-Free Detection of Biomolecules","year":2009,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":226,"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":"Fluorophore; Chemistry; Biomolecule; Nanoparticle; Fluorescence; Morin; Ultraviolet; Nanotechnology; Photochemistry; Optoelectronics; Materials science; Optics","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":[0.0002864106,0.0002380546,0.0002308131,0.000146938,0.0001669792,0.0003248425,0.0004962549,0.0003718547,0.0005598448],"category_scores_gemma":[0.0004847971,0.000235851,0.0002094497,0.0000948341,0.0002656053,0.0003493768,0.0002053978,0.0002972378,0.0001949274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003718272,"about_ca_system_score_gemma":0.0001843882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000871709,"about_ca_topic_score_gemma":0.000862847,"domain_scores_codex":[0.9998821,0.00002489905,0.000004258823,0.00001944532,0.00005502034,0.00001420419],"domain_scores_gemma":[0.9998789,0.0000616347,0.00001630101,0.00001140584,0.00002598567,0.000005768387],"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":[0.0002320669,0.00007683503,0.001052956,0.0002543562,0.00003425288,0.0003439789,0.0001181308,0.1444028,0.8324807,0.01307857,0.0003239806,0.00760146],"study_design_scores_gemma":[0.00006287379,0.00011461,0.0003887282,0.0000122813,0.00002042551,0.00006480302,0.00004164308,0.6068449,0.3896802,0.001763099,0.0009811601,0.00002532837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9112258,0.0004640078,0.08398558,0.0001522634,0.00004837185,0.00002770494,0.00005416811,0.0001768026,0.003865392],"genre_scores_gemma":[0.9660261,0.0002005095,0.03251755,0.00002855178,0.000004339145,0.00002832467,0.00004681689,0.00002754171,0.001120292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000871709,"threshold_uncertainty_score":0.002697825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270694872173927,"score_gpt":0.2914976635711869,"score_spread":0.2787907148494477,"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."}}