{"id":"W2323510476","doi":"10.1021/ac502424g","title":"Plasmon Enhanced Fluorescence with Aggregated Shell-Isolated Nanoparticles","year":2014,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Nanoparticle; Quenching (fluorescence); Plasmon; Quantum yield; Fluorescence; Electrolyte; Nanotechnology; Surface plasmon resonance; Metal; Chemical engineering; Substrate (aquarium); Nanostructure; Surface plasmon; Coating; Colloidal gold; Optoelectronics; Electrode; Organic chemistry; Materials science; Optics; Physical chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001776382,0.0003497349,0.00025876,0.000187607,0.0001404744,0.0002436088,0.000245697,0.0003518466,0.0005851751],"category_scores_gemma":[0.0002255516,0.0002100208,0.0002880325,0.000149825,0.0002137228,0.0002948002,0.0002668872,0.0003446507,0.000204371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004436585,"about_ca_system_score_gemma":0.0001024125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006989321,"about_ca_topic_score_gemma":0.0008234223,"domain_scores_codex":[0.9998646,0.00001850932,0.000007421887,0.00004340668,0.00003422058,0.00003194265],"domain_scores_gemma":[0.9998934,0.00003265584,0.00002069328,0.00001459132,0.00002498105,0.00001354965],"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":[0.00003973071,0.00001231379,0.00007492693,0.00002205974,0.000004810729,0.00004456716,0.00002094646,0.0001758867,0.9985568,0.00007999385,0.00004501963,0.0009229195],"study_design_scores_gemma":[0.000008565135,0.00007204113,0.0004743967,0.000001667171,0.000005612188,0.00003978649,0.000005982564,0.001664715,0.9973825,0.00002325617,0.0003184168,0.0000031938],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918147,0.0003275025,0.006192604,0.00006428441,0.0000157145,0.000009745822,0.00005827719,0.0001060304,0.001411131],"genre_scores_gemma":[0.9935415,0.0001590845,0.004783969,0.00003761919,0.000008204881,0.000009126707,0.00008475175,0.00001854319,0.001357311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006989321,"threshold_uncertainty_score":0.003218949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006796862820890253,"score_gpt":0.2085641685928629,"score_spread":0.2017673057719726,"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."}}