{"id":"W4402003755","doi":"10.1038/s41467-024-52004-2","title":"Stabilized Cuδ+-OH species on in situ reconstructed Cu nanoparticles for CO2-to-C2H4 conversion in neutral media","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Toronto; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Toronto; Ontario Research Foundation; Canada First Research Excellence Fund; Canadian Light Source","keywords":"In situ; Nanoparticle; Copper; Materials science; Chemical engineering; Nanotechnology; Chemistry; Metallurgy; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001126614,0.0003797698,0.0001683515,0.0001418818,0.0001804023,0.0002894585,0.0002979289,0.0003137017,0.0007540628],"category_scores_gemma":[0.0001668161,0.0001758934,0.0001467293,0.00009688564,0.0001646737,0.0002874577,0.0002151855,0.0002802203,0.0002286767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003224759,"about_ca_system_score_gemma":0.0001274245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006316593,"about_ca_topic_score_gemma":0.001302227,"domain_scores_codex":[0.9998932,0.000009784865,0.000006863102,0.00003561748,0.00002835509,0.00002608713],"domain_scores_gemma":[0.9999337,0.0000110696,0.00001919171,0.00001019501,0.0000165775,0.000009250621],"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":[0.00002285819,0.00001102746,0.0000416461,0.00003858241,0.000002916129,0.00002446316,0.00001970294,0.0001264221,0.9977853,0.0001124569,0.00006808912,0.001746417],"study_design_scores_gemma":[0.000001305687,0.00002044412,0.00007559799,6.572904e-7,0.000002208369,0.000009284387,0.000005289156,0.0006823362,0.9987382,0.000008807945,0.000454276,0.000001511574],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831399,0.000776694,0.01251995,0.000130118,0.00007823114,0.00003511044,0.000093994,0.0002660134,0.002959876],"genre_scores_gemma":[0.9935892,0.0002486834,0.004425489,0.00002537469,0.000008553309,0.00002073812,0.00005126991,0.00003005988,0.001600689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007540628,"threshold_uncertainty_score":0.002522588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02840016448193722,"score_gpt":0.3040740417018151,"score_spread":0.2756738772198778,"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."}}