{"id":"W4292400817","doi":"10.1002/ppsc.202200121","title":"Reversible and Irreversible HAuCl<sub>4</sub> Binding to DNA for Seeded Gold Nanoparticle Growth and Opposite DNA and Aptamers Colorimetric Sensing Outcomes","year":2022,"lang":"en","type":"article","venue":"Particle & Particle Systems Characterization","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council; University of Waterloo; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Aptamer; DNA; Chemistry; Adsorption; Colloidal gold; Biophysics; Biosensor; Nanoparticle; Combinatorial chemistry; Nanotechnology; Biochemistry; Materials science; Biology; Organic chemistry; Molecular biology","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":[0.0004322527,0.0001929651,0.0002713091,0.00009863852,0.0004213341,0.0001495296,0.00006194208,0.00006303022,3.756938e-7],"category_scores_gemma":[0.000138007,0.0001990582,0.00004692221,0.0004762215,0.00006877002,0.00005359997,0.0001998091,0.00005828449,0.000001225746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004140508,"about_ca_system_score_gemma":0.00001940899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000204884,"about_ca_topic_score_gemma":0.000005471109,"domain_scores_codex":[0.9984779,0.0001320402,0.00033086,0.0005117291,0.0001701926,0.0003773191],"domain_scores_gemma":[0.999308,0.0000478289,0.0001613591,0.0001968365,0.00008613482,0.0001997737],"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":[0.0001368613,0.00004314693,0.02086688,0.00004834776,0.0000562387,0.000002265252,0.0001700942,0.00001033571,0.9765626,0.00005370435,0.00003560284,0.002013918],"study_design_scores_gemma":[0.000665031,0.0003893032,0.008962669,0.00001824003,0.00008995795,0.0000289762,0.0004854921,0.006493896,0.9822361,0.000007265231,0.0003552837,0.0002677624],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970015,0.00007495052,0.001544271,0.0004927706,0.0001152544,0.0006450722,0.00005744829,0.00006425184,0.000004531936],"genre_scores_gemma":[0.9990147,0.00004891548,0.0004033931,0.0002390582,0.00005316115,0.00005238706,0.00007532052,0.00003065613,0.00008242015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01190421,"threshold_uncertainty_score":0.8117359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287084269467049,"score_gpt":0.23971791018239,"score_spread":0.2268470674877195,"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."}}