{"id":"W4321164681","doi":"10.1002/adma.202211041","title":"Nanozymes: Definition, Activity, and Mechanisms","year":2023,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":581,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nanomaterials; Nanotechnology; Catalysis; Biochemical engineering; Materials science; Chemistry; Computer science; Combinatorial chemistry; Engineering; Organic chemistry","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008806003,0.0003148085,0.000525684,0.0001997464,0.0002904629,0.0001871173,0.0002898463,0.0001270773,0.00116225],"category_scores_gemma":[0.0003630522,0.0002980812,0.00004417184,0.0004119292,0.0001562399,0.0007920342,0.0003904737,0.00004435987,0.001996944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007260178,"about_ca_system_score_gemma":0.00004016386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002161867,"about_ca_topic_score_gemma":0.000007237746,"domain_scores_codex":[0.9977163,0.0001355757,0.0004332581,0.0006866098,0.0004225332,0.0006057103],"domain_scores_gemma":[0.998749,0.0002033146,0.0002519304,0.0005510901,0.0001166009,0.0001280898],"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":[0.00008343147,0.00001899529,0.000002256366,0.00006821599,0.000007651534,0.00002382581,0.00006288795,0.00003107342,0.984581,0.01395661,0.0001515383,0.001012543],"study_design_scores_gemma":[0.0004508946,0.00006368235,0.0002762928,0.00004141388,0.00002260969,0.00002562305,0.0000642082,0.000002870606,0.8892767,0.1087727,0.0006838821,0.0003191834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915287,0.00004721262,0.004239686,0.0001987945,0.001855147,0.0003522675,0.0003615415,0.001004073,0.000412515],"genre_scores_gemma":[0.9790489,0.0002325996,0.0197896,0.0001423321,0.0001198712,0.0002402475,0.00007242129,0.00007236322,0.0002816365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09530429,"threshold_uncertainty_score":0.9999471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0215829199504062,"score_gpt":0.2703681814792174,"score_spread":0.2487852615288112,"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."}}