{"id":"W4405829683","doi":"10.1021/acsnano.4c15035","title":"Electronic Structure Modulation Induced by the Synergy of Cobalt Low-Nuclearity Clusters and Mononuclear Sites for Efficient Oxygen Electrocatalysis","year":2024,"lang":"en","type":"article","venue":"ACS Nano","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Northeast Petroleum University; Natural Science Foundation of Heilongjiang Province; Government of Jiangsu Province; National Natural Science Foundation of China","keywords":"Bifunctional; Overpotential; Electrocatalyst; Oxygen evolution; Catalysis; Cobalt; Chemistry; Electronic structure; Desorption; Materials science; Nanotechnology; Chemical physics; Adsorption; Chemical engineering; Inorganic chemistry; Physical chemistry; Computational chemistry; Electrode; Electrochemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007049977,0.0001698693,0.000119331,0.00008925362,0.0001302138,0.000281161,0.0002485275,0.000213601,0.0006253726],"category_scores_gemma":[0.0001162641,0.0001245114,0.00006821432,0.00007862616,0.0001819958,0.000191493,0.000206443,0.0002028353,0.0001550736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002629606,"about_ca_system_score_gemma":0.000153475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004450474,"about_ca_topic_score_gemma":0.001372447,"domain_scores_codex":[0.9999404,0.000005116396,0.00000435071,0.00001512054,0.00001918832,0.0000158417],"domain_scores_gemma":[0.9999712,0.000005522108,0.00000655089,0.000003728227,0.000006109969,0.000007015864],"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":[0.00004956081,0.00001635998,0.0001489878,0.00003371545,0.000002593952,0.00003394383,0.00001663683,0.0001836501,0.9971903,0.0005972899,0.00006316435,0.001663724],"study_design_scores_gemma":[0.00001581521,0.00005087609,0.000633271,0.000001816971,0.000006230536,0.00005693419,0.00001310985,0.002902632,0.9949968,0.00008505488,0.001233746,0.000003642313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933456,0.0003642635,0.003849999,0.00008852422,0.00002137698,0.00001038347,0.00004089547,0.00007721558,0.00220168],"genre_scores_gemma":[0.9979824,0.0001194109,0.001297369,0.00001696654,0.000003391921,0.00000719549,0.00002835317,0.00000804641,0.0005369197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006253726,"threshold_uncertainty_score":0.002092063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005306927361475574,"score_gpt":0.2114457568366511,"score_spread":0.2061388294751756,"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."}}