{"id":"W2154747855","doi":"10.1039/b618513d","title":"Selective surface-enhanced fluorescence and dye aggregation with layer-by-layer film substrates","year":2007,"lang":"en","type":"article","venue":"The Analyst","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Layer by layer; Layer (electronics); Substrate (aquarium); Raman scattering; Fluorescence; Electrolyte; Nanoparticle; Adsorption; Nanotechnology; Materials science; Chemical engineering; Surface charge; Selectivity; Raman spectroscopy; Polymer; Chemistry; Organic chemistry; Electrode; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004579954,0.00009852584,0.0001209832,0.00001717578,0.0002660174,0.00008812667,0.0001436379,0.00002906982,0.00007084826],"category_scores_gemma":[0.0000120644,0.00005750773,0.00002173187,0.0002664056,0.0001251012,0.0001174876,0.00001871147,0.00005477257,0.00005642345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001587382,"about_ca_system_score_gemma":0.00001795467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001986128,"about_ca_topic_score_gemma":0.0002480832,"domain_scores_codex":[0.9992061,0.00003907305,0.0001557161,0.000214532,0.0001576175,0.0002270206],"domain_scores_gemma":[0.9994394,0.0001333919,0.00008822489,0.0002026133,0.00007451804,0.00006183601],"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":[0.0000323695,0.00002870158,0.001898812,0.000002878256,0.000009307537,4.984995e-7,0.0002888742,0.0001018326,0.9962464,0.000446284,0.000277443,0.0006666136],"study_design_scores_gemma":[0.0001205534,0.00003417232,0.01095461,0.00001474015,0.00003371603,0.000002007113,0.0003632852,0.0003812819,0.9876704,0.0001837185,0.0001464008,0.00009512372],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997655,0.0001638135,0.0008107274,0.0003030777,0.00001237601,0.0001264876,0.000009302121,0.0000358128,0.0008834193],"genre_scores_gemma":[0.9991952,0.00002857866,0.0004250209,0.00005650525,0.00002668485,0.00000776012,0.000003347154,0.000007075709,0.0002497988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009055799,"threshold_uncertainty_score":0.2345097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267897008631113,"score_gpt":0.2390823574306484,"score_spread":0.2264033873443372,"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."}}