{"id":"W4366743024","doi":"10.1002/adma.202300387","title":"Surface Ligand Engineering Ruthenium Nanozyme Superior to Horseradish Peroxidase for Enhanced Immunoassay","year":2023,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":200,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; Youth Innovation Promotion Association of the Chinese Academy of Sciences; Chinese Academy of Sciences; National Natural Science Foundation of China; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Horseradish peroxidase; Ruthenium; Materials science; Immunoassay; Ligand (biochemistry); Surface modification; Nanotechnology; Chemical engineering; Combinatorial chemistry; Organic chemistry; Catalysis; Chemistry; Enzyme; Biochemistry; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002041296,0.0003868089,0.0002113805,0.0001173916,0.00006456406,0.0003415509,0.0002841514,0.0005236019,0.0006393096],"category_scores_gemma":[0.0001888787,0.0001508724,0.0002127076,0.00009953374,0.0001591946,0.0002523462,0.0001614571,0.0003239728,0.000412093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002758747,"about_ca_system_score_gemma":0.0001187494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001870977,"about_ca_topic_score_gemma":0.000288335,"domain_scores_codex":[0.9998519,0.00003059746,0.00001335537,0.00003716493,0.00003983307,0.00002709193],"domain_scores_gemma":[0.9999163,0.0000181232,0.00002659737,0.000006689686,0.00002114913,0.00001118272],"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":[0.00001368173,0.00001069045,0.00001848544,0.0000193022,0.000001668461,0.00001506375,0.000003719094,0.00007636208,0.9988915,0.0001146683,0.0000215377,0.0008133629],"study_design_scores_gemma":[0.000008227246,0.00008398756,0.00009967485,0.000001395822,0.000004258221,0.0000384988,0.0000027643,0.001672262,0.9973259,0.00002060997,0.000739884,0.000002534101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9527606,0.001968246,0.04067126,0.0002877123,0.00009603355,0.00007141544,0.00007256089,0.0003683871,0.003703748],"genre_scores_gemma":[0.9805132,0.0004176066,0.01714657,0.00006938107,0.00001214656,0.00003244261,0.00006250848,0.00002847546,0.001717625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006393096,"threshold_uncertainty_score":0.002138734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107601502565392,"score_gpt":0.2643082015920315,"score_spread":0.2532321865663776,"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."}}