{"id":"W3016246308","doi":"10.1039/d0sc00379d","title":"Hydrogen peroxide reduction on single platinum nanoparticles","year":2020,"lang":"en","type":"article","venue":"Chemical Science","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrogen peroxide; Platinum; Platinum nanoparticles; Nanoparticle; Reduction (mathematics); Chemistry; Hydrogen; Nanotechnology; Combinatorial chemistry; Inorganic chemistry; Photochemistry; Catalysis; Materials science; Organic chemistry; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001575822,0.0002072338,0.0003186806,0.0001743554,0.0001498093,0.0003077739,0.0004139898,0.0003929166,0.001576569],"category_scores_gemma":[0.0003306183,0.0002544803,0.0002240779,0.000139329,0.0001649473,0.0003738749,0.0002941682,0.0005580712,0.0007245916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002048959,"about_ca_system_score_gemma":0.00008312321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002721447,"about_ca_topic_score_gemma":0.0003509883,"domain_scores_codex":[0.9997596,0.00001810134,0.00001070936,0.00007818957,0.00009882561,0.00003452322],"domain_scores_gemma":[0.9999142,0.00002639919,0.00001441038,0.00001684753,0.00002005234,0.000008168671],"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":[0.0000416011,0.0000118194,0.00006656755,0.00006085893,0.000008283403,0.00006277547,0.00003103657,0.000258578,0.9952831,0.000341891,0.0001671659,0.003666263],"study_design_scores_gemma":[0.000004628919,0.00008309879,0.0002051336,0.000002143603,0.000003714794,0.0000465067,0.000009439411,0.001143309,0.99749,0.00009176224,0.0009177856,0.000002482109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752525,0.001619099,0.01530515,0.0001995272,0.0001604032,0.0000342662,0.0001594551,0.0001488677,0.007120749],"genre_scores_gemma":[0.9886909,0.0009404504,0.004945922,0.00003073167,0.00002376399,0.00001717954,0.0001731929,0.0000386092,0.005139322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001576569,"threshold_uncertainty_score":0.005274177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02135033815454441,"score_gpt":0.2358643044715979,"score_spread":0.2145139663170535,"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."}}