{"id":"W3033042675","doi":"10.1039/d0sc01080d","title":"Good's buffers have various affinities to gold nanoparticles regulating fluorescent and colorimetric DNA sensing","year":2020,"lang":"en","type":"article","venue":"Chemical Science","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; National Institute for Nanotechnology; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; Global Water Futures; Canada First Research Excellence Fund; Shanxi University","keywords":"Affinities; Fluorescence; Binding affinities; Colloidal gold; Chemistry; Nanotechnology; Nanoparticle; Adsorption; Combinatorial chemistry; DNA; Chromatography; Materials science; Biochemistry; Organic chemistry; Receptor","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":[0.0009070102,0.001116498,0.0005367059,0.0006501219,0.0003935669,0.000815673,0.0008996525,0.0007942216,0.001524201],"category_scores_gemma":[0.0009364403,0.0005376173,0.0004371458,0.0003936039,0.0005804971,0.0006960675,0.0006996911,0.0005997436,0.0005935783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005791307,"about_ca_system_score_gemma":0.0003807874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000920467,"about_ca_topic_score_gemma":0.002402192,"domain_scores_codex":[0.9991525,0.0002187388,0.00007948862,0.0002228361,0.0001938413,0.0001326356],"domain_scores_gemma":[0.9993275,0.0003291501,0.0001136487,0.00003895854,0.0001293416,0.0000613212],"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":[0.00009073522,0.00001377554,0.0002583514,0.0002014489,0.00001752013,0.00006467575,0.00004812251,0.000196254,0.9954288,0.0003836945,0.000143931,0.003152518],"study_design_scores_gemma":[0.000004385254,0.00005205873,0.0002654908,0.000007497891,0.00001322351,0.0001028173,0.0000175291,0.0004754968,0.9970179,0.00007161654,0.001960469,0.00001154635],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8518509,0.02805978,0.1070092,0.001327012,0.0003765265,0.0003141967,0.0006220376,0.001288618,0.009151741],"genre_scores_gemma":[0.9177913,0.007277205,0.06571499,0.0006732157,0.00006968742,0.0002685579,0.0004639048,0.0001497965,0.007591286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001524201,"threshold_uncertainty_score":0.005098999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536511749789243,"score_gpt":0.2574989307785913,"score_spread":0.2421338132806988,"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."}}