{"id":"W3092137191","doi":"10.1002/chem.202004133","title":"Liposome‐Boosted Peroxidase‐Mimicking Nanozymes Breaking the pH Limit","year":2020,"lang":"en","type":"article","venue":"Chemistry - A European Journal","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Chemistry; Liposome; Horseradish peroxidase; Hydrogen peroxide; Peroxidase; Fluorescence; Detection limit; Nanoparticle; ABTS; Quenching (fluorescence); Combinatorial chemistry; Adsorption; Inorganic chemistry; Photochemistry; Nanotechnology; Chromatography; Enzyme; Organic chemistry; Biochemistry; Antioxidant; Materials science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009262969,0.0003175902,0.0003327008,0.00002266269,0.0007585433,0.000668296,0.0013284,0.00004499957,0.002339241],"category_scores_gemma":[0.0006757479,0.000231226,0.000190459,0.0002555129,0.0002286637,0.0003509211,0.0004604365,0.0004581826,0.0006086916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008344754,"about_ca_system_score_gemma":0.00007736136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.341994e-7,"about_ca_topic_score_gemma":8.284108e-8,"domain_scores_codex":[0.9975177,0.0003376916,0.0006857071,0.0004643487,0.000463841,0.0005307292],"domain_scores_gemma":[0.9983474,0.0001274269,0.0005840536,0.0004731835,0.000138052,0.0003298641],"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":[0.00005174234,0.0000232585,0.00004926682,0.00004750552,0.00002368602,0.0003056149,0.001183218,0.0001747044,0.994287,0.000002846663,0.001063634,0.002787541],"study_design_scores_gemma":[0.0005081316,0.00003710556,0.00007022052,0.0001199689,0.00006731171,0.0008206501,0.0006503628,0.0003534476,0.9797913,0.000023736,0.01724273,0.0003150519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912626,0.0005572384,0.001600453,0.002087104,0.0004348858,0.00008428629,0.00002425466,0.0001945422,0.003754693],"genre_scores_gemma":[0.994975,0.00004744013,0.001485975,0.0008819683,0.002210263,0.000002916935,0.000009684626,0.00008694905,0.0002998081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01617909,"threshold_uncertainty_score":0.9985728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0244091035882294,"score_gpt":0.2199885003205736,"score_spread":0.1955793967323442,"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."}}