{"id":"W2973527012","doi":"10.1039/c9nr05346h","title":"Fluoride-capped nanoceria as a highly efficient oxidase-mimicking nanozyme: inhibiting product adsorption and increasing oxygen vacancies","year":2019,"lang":"en","type":"article","venue":"Nanoscale","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; National Institute for Nanotechnology; University of Waterloo","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Adsorption; Oxygen; Fluoride; Chemistry; Materials science; Photochemistry; Nanotechnology; Inorganic chemistry; Physical chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000153812,0.0004262759,0.0003218005,0.0001415174,0.0001263608,0.0003166521,0.0003582245,0.0005103557,0.0004498406],"category_scores_gemma":[0.0002331125,0.0001516157,0.0002668837,0.0001018181,0.000160185,0.0002940202,0.0001367352,0.0003442432,0.0001768227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002735724,"about_ca_system_score_gemma":0.000118805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008177131,"about_ca_topic_score_gemma":0.001184145,"domain_scores_codex":[0.999859,0.00001275574,0.00001305132,0.00005828522,0.00003412636,0.00002292558],"domain_scores_gemma":[0.9998939,0.00002012882,0.00002790211,0.0000132855,0.00002217791,0.00002258529],"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":[0.00002221231,0.000008511354,0.00002751267,0.00001830637,0.00000269543,0.00001159905,0.000004378826,0.00003600597,0.9991936,0.00002355268,0.00001529416,0.0006363288],"study_design_scores_gemma":[0.000003685471,0.00004260067,0.0001858128,0.000001146345,0.000003957332,0.00002865827,0.000002432062,0.0004440589,0.9988049,0.000005581233,0.0004749105,0.000002259605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867749,0.001216992,0.01025365,0.0001129761,0.00006397057,0.00004805374,0.0002399561,0.0001946111,0.001094926],"genre_scores_gemma":[0.9822683,0.0004241094,0.01564405,0.00005528047,0.00001049827,0.00003966618,0.0001830434,0.00004152748,0.001333526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008177131,"threshold_uncertainty_score":0.001984894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008199609387279934,"score_gpt":0.2345448843944069,"score_spread":0.226345275007127,"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."}}