{"id":"W3108258059","doi":"10.1021/acsanm.0c02358","title":"Acid-Triggered Self-Assembled Egg White Protein-Coated Gold Nanoclusters for Selective Fluorescent Detection of Fe<sup>3+</sup>, NO<sub>2</sub><sup>–</sup>, and Cysteine","year":2020,"lang":"en","type":"article","venue":"ACS Applied Nano Materials","topic":"Nanocluster Synthesis and Applications","field":"Materials Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nanoclusters; Fluorescence; Chemistry; Cysteine; Nanosensor; Quenching (fluorescence); Detection limit; Biosensor; Nitrite; Photochemistry; Selectivity; Combinatorial chemistry; Nanotechnology; Chromatography; Materials science; Biochemistry; Organic 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":[0.000109605,0.0002980636,0.0002220096,0.00009825237,0.00008460893,0.0001825322,0.0003300813,0.000391928,0.0004562881],"category_scores_gemma":[0.0001748355,0.0002016263,0.0001579701,0.00007946511,0.0002074504,0.0002321034,0.0002185455,0.000287837,0.0002497897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003599282,"about_ca_system_score_gemma":0.0001663927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005958476,"about_ca_topic_score_gemma":0.001586125,"domain_scores_codex":[0.9998798,0.00001055998,0.0000090746,0.00003515315,0.00005074116,0.00001455297],"domain_scores_gemma":[0.999925,0.00001269653,0.00001819667,0.000009209995,0.00002342813,0.00001133988],"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":[0.000008682966,0.000003068256,0.0000266914,0.000013248,0.000001780986,0.00001388088,0.000004861861,0.00005858149,0.9991933,0.00004206714,0.00001507144,0.0006189029],"study_design_scores_gemma":[0.000002772086,0.00002207646,0.0003531224,9.370331e-7,0.000003541412,0.00003888269,0.000004072492,0.001321228,0.9977075,0.00001353273,0.0005301323,0.000002194677],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9577706,0.001266608,0.03803191,0.0001557969,0.00006312186,0.00007856466,0.0001908842,0.0003469827,0.002095566],"genre_scores_gemma":[0.956502,0.0005621743,0.03863377,0.000102431,0.00001088242,0.00004578923,0.0002144724,0.00005222666,0.003876294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005958476,"threshold_uncertainty_score":0.002611458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009871496478767266,"score_gpt":0.2088460394813988,"score_spread":0.1989745430026315,"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."}}