{"id":"W4318957076","doi":"10.1016/j.cej.2023.141673","title":"Boosting the electrochemical O2-to-H2O2 synthesis by revamping the FeMo catalyst with N/O co-doped surface","year":2023,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Education Department of Henan Province; University of Toronto; National Natural Science Foundation of China","keywords":"Bimetallic strip; Electrochemistry; Electrocatalyst; Catalysis; Density functional theory; Doping; Materials science; Oxygen reduction reaction; Raman spectroscopy; Chemical engineering; Inorganic chemistry; Chemistry; Nanotechnology; Electrode; Physical chemistry; Computational chemistry; Organic chemistry; Optoelectronics; Physics","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":[0.00008316516,0.0002667585,0.0002045034,0.0001040259,0.0001335197,0.0003556501,0.0003158651,0.0003676996,0.001882857],"category_scores_gemma":[0.0002680565,0.0001344875,0.0001147661,0.00008743469,0.0001904415,0.0004030312,0.0002771814,0.0003828355,0.000422011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002341157,"about_ca_system_score_gemma":0.0001739252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006966697,"about_ca_topic_score_gemma":0.002203086,"domain_scores_codex":[0.9999171,0.000003446443,0.000004471365,0.00002404593,0.00002753559,0.00002324851],"domain_scores_gemma":[0.9999402,0.00001651057,0.00001118681,0.000009560744,0.0000134688,0.000009048453],"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":[0.00007188594,0.00002087895,0.0001472711,0.00004758046,0.00000260029,0.00003963617,0.00002512072,0.00007426611,0.9957238,0.0002344757,0.0001020523,0.003510328],"study_design_scores_gemma":[0.000003434916,0.00002812289,0.0003139474,0.00000202134,0.000001812853,0.00002110298,0.00001292366,0.0009017676,0.9974951,0.00002516709,0.001192501,0.000002177998],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868844,0.0004797899,0.005788116,0.0001952081,0.000137464,0.00003134229,0.0001332293,0.0001867407,0.006163869],"genre_scores_gemma":[0.9948877,0.0001970183,0.002040365,0.00006286152,0.00001284548,0.00001534886,0.00006088077,0.00004020943,0.002682823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001882857,"threshold_uncertainty_score":0.00629878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006272424451817805,"score_gpt":0.2008183857813955,"score_spread":0.1945459613295777,"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."}}