{"id":"W2898805084","doi":"10.1038/s41467-018-07032-0","title":"Copper adparticle enabled selective electrosynthesis of n-propanol","year":2018,"lang":"en","type":"article","venue":"Nature Communications","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":212,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Canadian Light Source (Canada); McMaster University; University of Toronto","funders":"Canadian Institutes of Health Research; Mitacs; Tianjin University; University of Toronto; Basic Energy Sciences; Canadian Light Source; Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence; McMaster University; Lawrence Berkeley National Laboratory; University of Saskatchewan; Canadian Institute for Advanced Research; Argonne National Laboratory; U.S. Department of Energy","keywords":"Electrosynthesis; Catalysis; Copper; Electrochemistry; Faraday efficiency; Carbon fibers; Chemistry; Chemisorption; Carbon monoxide; Inorganic chemistry; Adsorption; Propanol; Selectivity; Electrochemical reduction of carbon dioxide; Density functional theory; Materials science; Organic chemistry; Methanol; Physical chemistry; Computational chemistry; Electrode","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":[0.00008533543,0.00037227,0.0002267042,0.0003273508,0.0001476434,0.0003027011,0.0003261518,0.0003404659,0.001214838],"category_scores_gemma":[0.0002156661,0.0001832587,0.0001345155,0.0001764279,0.0002203362,0.0002603559,0.0003066933,0.0002949763,0.0003179159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002605432,"about_ca_system_score_gemma":0.00009410991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004703029,"about_ca_topic_score_gemma":0.0009652376,"domain_scores_codex":[0.999889,0.000006080648,0.000005534571,0.00003650129,0.00004008423,0.0000228086],"domain_scores_gemma":[0.9999028,0.00002238847,0.00002059869,0.00001354497,0.00001916014,0.00002134751],"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":[0.00004266112,0.00001902178,0.00006334816,0.00006031353,0.000003682694,0.0001079107,0.00001759361,0.0001335406,0.9960527,0.0001562792,0.0001305172,0.003212408],"study_design_scores_gemma":[0.000006285286,0.00004884584,0.0004202581,0.000002624291,0.000003270289,0.00003815676,0.000006841064,0.001001763,0.9974774,0.00001900363,0.0009725246,0.000002921262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987552,0.0008598466,0.004453992,0.00008734551,0.00009762327,0.00004964093,0.0001949211,0.0001984373,0.00650618],"genre_scores_gemma":[0.9942083,0.000219081,0.002488836,0.00001841778,0.00001355923,0.00001760841,0.00009061887,0.00003170019,0.002911932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001214838,"threshold_uncertainty_score":0.004064023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421568807069838,"score_gpt":0.2924299649094692,"score_spread":0.2782142768387708,"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."}}