{"id":"W3002255853","doi":"10.1073/pnas.1821683117","title":"Selective reduction of CO to acetaldehyde with CuAg electrocatalysts","year":2020,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; U.S. Department of Energy","keywords":"Acetaldehyde; Selectivity; Chemistry; Reversible hydrogen electrode; Faraday efficiency; Catalysis; Electrochemistry; Electrode; Inorganic chemistry; Redox; Standard electrode potential; Ethanol; Organic chemistry; Working electrode; 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":[0.0001081174,0.000306894,0.0001931294,0.0002496406,0.0001504717,0.0003675029,0.0003609338,0.0004035438,0.0006265252],"category_scores_gemma":[0.0001850741,0.0001600111,0.0001362251,0.0002153166,0.0002665084,0.0002904094,0.0003006046,0.0003805388,0.0002542851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002954367,"about_ca_system_score_gemma":0.0001450927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007792421,"about_ca_topic_score_gemma":0.003186342,"domain_scores_codex":[0.9998585,0.00001298859,0.000006343517,0.00003515102,0.00005467586,0.00003237136],"domain_scores_gemma":[0.999963,0.000008370278,0.00000841571,0.00000601087,0.000009552607,0.00000454165],"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":[0.00004628932,0.00002785889,0.0001966806,0.00007635088,0.00001289413,0.00005699225,0.00001717407,0.0003425534,0.9897147,0.0004859873,0.0003124808,0.008710168],"study_design_scores_gemma":[0.00000451283,0.00004455147,0.0003155819,0.000001515503,0.000005870424,0.00004585285,0.00001281288,0.002282244,0.9953437,0.00005579257,0.00188406,0.000003492437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97328,0.00219685,0.01745101,0.0003133506,0.0001532885,0.00004507674,0.000103958,0.0003847513,0.006071683],"genre_scores_gemma":[0.9886396,0.0005850598,0.008604173,0.00008108628,0.0000163414,0.00001312303,0.00009894166,0.00002852908,0.001933103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007792421,"threshold_uncertainty_score":0.002143502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02835997742665367,"score_gpt":0.2946503782025727,"score_spread":0.266290400775919,"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."}}