{"id":"W2560083752","doi":"10.1002/celc.201600760","title":"Zirconia on Reduced Graphene Oxide Sheets: Synergistic Catalyst with High Selectivity for H<sub>2</sub>O<sub>2</sub> Electrogeneration","year":2016,"lang":"en","type":"article","venue":"ChemElectroChem","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Institut National de la Recherche Scientifique","funders":"","keywords":"Catalysis; Selectivity; Overpotential; Graphene; Oxide; Inorganic chemistry; Cubic zirconia; Hydrogen peroxide; Materials science; Chemical engineering; Zirconium; Chemistry; Electrode; Electrochemistry; Nanotechnology; Metallurgy; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005905753,0.001217733,0.001062571,0.0006002233,0.0006479297,0.0001267965,0.0007306369,0.0006025794,0.00001981224],"category_scores_gemma":[0.0005054757,0.0009895574,0.0004609431,0.001627206,0.0002378111,0.0006277054,0.00009234801,0.0005522014,0.0001397775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002096901,"about_ca_system_score_gemma":0.0007203895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001588793,"about_ca_topic_score_gemma":0.001545063,"domain_scores_codex":[0.9936069,0.0001688107,0.0008503514,0.00205121,0.001098021,0.002224677],"domain_scores_gemma":[0.996163,0.0004953675,0.0005938822,0.001395698,0.0008671645,0.0004849614],"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":[0.001651328,0.0003370761,0.00003048376,0.0000851176,0.0006325045,0.00001931219,0.00004885256,0.0001396414,0.9715748,0.01366042,0.001429191,0.01039122],"study_design_scores_gemma":[0.00362135,0.001629469,0.0001462012,0.0001611836,0.0003995893,0.00007194639,0.00001236007,0.0001727916,0.989435,0.002313083,0.0006044175,0.001432573],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860951,0.0002228699,0.0106431,0.0006299915,0.0002097151,0.0008258634,0.0000176789,0.0008020378,0.0005536816],"genre_scores_gemma":[0.9961175,0.0002001647,0.0004575717,0.0004000821,0.0006746859,0.0009041278,0.0007491449,0.0003729745,0.0001237216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01786018,"threshold_uncertainty_score":0.9992555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006527752304338239,"score_gpt":0.1979305126183025,"score_spread":0.1914027603139643,"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."}}