{"id":"W4225607497","doi":"10.1002/smll.202201139","title":"Engineering the Morphology and Microenvironment of a Graphene‐Supported Co‐N‐C Single‐Atom Electrocatalyst for Enhanced Hydrogen Evolution","year":2022,"lang":"en","type":"article","venue":"Small","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada)","funders":"Fundamental Research Funds for the Central Universities; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Overpotential; Graphene; Tafel equation; Electrocatalyst; Materials science; Catalysis; Substrate (aquarium); Nanotechnology; Morphology (biology); Electrolyte; Reversible hydrogen electrode; Chemical engineering; Hydrogen; Chemical physics; Electrode; Chemistry; Physical chemistry; Electrochemistry; Organic chemistry; Working electrode","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":[],"consensus_categories":[],"category_scores_codex":[0.0002547694,0.0001601322,0.000202557,0.0001308404,0.0001803256,0.000005649848,0.0002390537,0.00005324158,0.00006475295],"category_scores_gemma":[0.00002184552,0.000150099,0.000105671,0.0002139476,0.00006434961,0.00003819045,0.000112439,0.000137854,0.000003507256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002810881,"about_ca_system_score_gemma":0.00003675217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002651939,"about_ca_topic_score_gemma":0.0001358967,"domain_scores_codex":[0.9988503,0.0000541703,0.0002513146,0.0003076612,0.0001811412,0.0003554112],"domain_scores_gemma":[0.9993901,0.00008283083,0.0001413683,0.0003127249,0.00002611503,0.00004683157],"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":[0.0001096799,0.00006477247,0.0001311391,0.0000198696,0.0001156292,0.000002204095,0.000155776,0.004982866,0.9901031,0.0038095,0.00007086503,0.0004345776],"study_design_scores_gemma":[0.0006999536,0.0003896165,0.0003692775,0.000004154459,0.00008945388,0.00004926107,0.0001011445,0.001153625,0.9839522,0.0004750591,0.01255248,0.0001637927],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931561,0.0005352744,0.005587096,0.0001299587,0.00007095242,0.0002594934,0.000008977158,0.00005191207,0.0002002256],"genre_scores_gemma":[0.9989108,0.00001867222,0.0003589845,0.00007460077,0.00003143495,0.0001828366,0.0001839109,0.00003754883,0.0002012246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01248161,"threshold_uncertainty_score":0.6120861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006981321355893728,"score_gpt":0.1833919621517173,"score_spread":0.1764106407958236,"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."}}