{"id":"W4407293476","doi":"10.1021/jacs.4c16801","title":"Lattice Oxygen-Driven Co-Adsorption of Carbon Dioxide and Nitrate on Copper: A Pathway to Efficient Urea Electrosynthesis","year":2025,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China; Science and Technology Foundation of Shenzhen City","keywords":"Chemistry; Electrosynthesis; Copper; Carbon dioxide; Inorganic chemistry; Oxygen; Adsorption; Urea; Nitrate; Electrochemistry; Electrode; Organic chemistry; Physical 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":[0.0000881314,0.0003404579,0.000131739,0.0001777341,0.0001637781,0.0001393114,0.0003354652,0.0002380135,0.0005903221],"category_scores_gemma":[0.0001722898,0.0001390812,0.0001389918,0.0001006276,0.0002205357,0.0002403542,0.000287794,0.0002735028,0.0001414175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003160519,"about_ca_system_score_gemma":0.0001938163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001008629,"about_ca_topic_score_gemma":0.002482043,"domain_scores_codex":[0.9999361,0.000007371943,0.000003089141,0.0000126753,0.00002138208,0.00001938412],"domain_scores_gemma":[0.9999542,0.00001007162,0.00001023757,0.000005962921,0.000008958021,0.00001053673],"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":[0.00004113505,0.00003330706,0.0001688238,0.0001489221,0.000007108269,0.0001795965,0.00004570359,0.0006295782,0.9921348,0.001028154,0.0002491784,0.005333613],"study_design_scores_gemma":[0.00001285519,0.000104965,0.0006857215,0.00001011385,0.000005623749,0.00007253957,0.00003121525,0.00477689,0.9918031,0.0001937852,0.002293725,0.000009404939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839355,0.001591073,0.007467873,0.0001765224,0.00008340187,0.0000494658,0.00007738893,0.00009542559,0.006523371],"genre_scores_gemma":[0.9948393,0.0005936695,0.003278515,0.00002890716,0.00001064537,0.00002070497,0.00003084743,0.00001103901,0.001186376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001008629,"threshold_uncertainty_score":0.002293169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00684358313648858,"score_gpt":0.2455014346841982,"score_spread":0.2386578515477097,"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."}}