{"id":"W4309933637","doi":"10.1038/s41929-022-00880-6","title":"Copper/alkaline earth metal oxide interfaces for electrochemical CO2-to-alcohol conversion by selective hydrogenation","year":2022,"lang":"en","type":"article","venue":"Nature Catalysis","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":252,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Ministry of Science and Technology, Taiwan","keywords":"Hydrocarbon; Selectivity; Catalysis; Chemistry; Inorganic chemistry; Copper; Electrochemistry; Alcohol; Oxide; Metal; Faraday efficiency; Alkaline earth metal; Organic chemistry; Physical chemistry; 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":[0.0002777576,0.0002314215,0.0003321366,0.0002805696,0.0003149693,0.00003130105,0.0003413284,0.0002212612,0.0003073375],"category_scores_gemma":[0.0001290299,0.0002387774,0.000264382,0.001083268,0.00003386767,0.0001309135,0.0001710803,0.0006287928,0.0000269639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003535992,"about_ca_system_score_gemma":0.00005314443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001779127,"about_ca_topic_score_gemma":0.00005262234,"domain_scores_codex":[0.9982854,0.00006891637,0.0002832278,0.0005791258,0.0004505677,0.0003328267],"domain_scores_gemma":[0.9991448,0.00007402721,0.0001412323,0.0003141829,0.0002211501,0.0001046285],"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":[0.0002533004,0.0001207457,0.0000147878,0.00001217512,0.0002720253,0.000001145485,0.0001292539,0.00015149,0.9416642,0.000447231,0.05519494,0.001738729],"study_design_scores_gemma":[0.0003455254,0.0001483858,0.000005448473,0.000002505403,0.0001562953,0.00002089177,0.0001367537,0.0004369803,0.7264923,0.000123899,0.2719276,0.0002033645],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927596,0.001341159,0.001942887,0.001310014,0.0002676612,0.0007275607,0.0002563583,0.0004036697,0.0009911223],"genre_scores_gemma":[0.991479,0.00002075131,0.0005435784,0.0007766458,0.00009111066,0.0004377235,0.003340609,0.00004345028,0.003267136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2167327,"threshold_uncertainty_score":0.9737059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005694866623628668,"score_gpt":0.2502176959945607,"score_spread":0.244522829370932,"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."}}