{"id":"W4407564697","doi":"10.1021/acs.langmuir.4c05238","title":"Enhancing the Peroxidase-Mimicking Activity of Gold Nanoparticles for Lateral Flow Assays: Quantitative Evaluation in a Kinetic View","year":2025,"lang":"en","type":"article","venue":"Langmuir","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Science and Higher Education of the Russian Federation; University of Waterloo","keywords":"Colloidal gold; Chemistry; Peroxidase; Biophysics; Nanoparticle; Nanotechnology; Kinetic energy; Biochemistry; Enzyme; Materials science; Biology; Physics","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":[0.003012098,0.001718173,0.0007373341,0.0004593361,0.0002010866,0.001032356,0.0008518943,0.001347073,0.0005359253],"category_scores_gemma":[0.00249132,0.000470024,0.0007762334,0.0003247902,0.0006492698,0.001161322,0.0004411781,0.001287692,0.0003879531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305028,"about_ca_system_score_gemma":0.0004657113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001180461,"about_ca_topic_score_gemma":0.001104957,"domain_scores_codex":[0.9989337,0.0002886986,0.00008516387,0.0002372061,0.00033437,0.0001207895],"domain_scores_gemma":[0.9989316,0.0006649037,0.0001439646,0.00005511911,0.0001743219,0.00003007172],"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":[0.00006607622,0.00009118788,0.0004538737,0.0002530824,0.00002037725,0.00006196758,0.00006582464,0.003100346,0.9877173,0.001062316,0.0001241052,0.006983544],"study_design_scores_gemma":[0.000007715667,0.0001308849,0.0002386635,0.000009164977,0.00001976454,0.00004188645,0.00001880606,0.05740161,0.9409636,0.0002724563,0.0008759947,0.00001933446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3672348,0.003517198,0.6243681,0.0005389677,0.0001922536,0.0003793119,0.0004061659,0.001268872,0.002094308],"genre_scores_gemma":[0.7941865,0.003327717,0.1988745,0.0002697084,0.00005434671,0.0004710784,0.0003634637,0.00008856806,0.002364182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003012098,"threshold_uncertainty_score":0.0159297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03785418594482181,"score_gpt":0.3423557076737546,"score_spread":0.3045015217289327,"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."}}