{"id":"W2900073087","doi":"10.1016/j.joule.2018.10.015","title":"Large-Scale and Highly Selective CO2 Electrocatalytic Reduction on Nickel Single-Atom Catalyst","year":2018,"lang":"en","type":"article","venue":"Joule","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":877,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"National Science Foundation of Sri Lanka; Western Economic Diversification Canada; Ministry of Science and Technology of the People's Republic of China; National Research Council; University of Saskatchewan; Natural Sciences and Engineering Research Council of Canada; Canadian Light Source; Rowland Institute at Harvard; Rice University; National Natural Science Foundation of China; National Centre for Biological Sciences; Cognitive Neuroscience Society; Harvard University; Arizona State University; National Research Council Canada; National Sleep Foundation; China Scholarship Council; Rowland Foundation; Canadian Institutes of Health Research; National Science Foundation","keywords":"Nickel; Catalysis; Reduction (mathematics); Atom (system on chip); Materials science; Scale (ratio); Inorganic chemistry; Metallurgy; Chemical engineering; Chemistry; Organic chemistry; Engineering; Physics; Embedded system; Mathematics","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":[0.0002310467,0.0003941852,0.0005498803,0.0003061596,0.000409368,0.0005066029,0.0006006408,0.0003361178,0.0008852767],"category_scores_gemma":[0.000289237,0.0002409089,0.0001503275,0.0002946547,0.0002494824,0.0004185456,0.000316691,0.0005686667,0.0006462572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005195529,"about_ca_system_score_gemma":0.0003425945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001592936,"about_ca_topic_score_gemma":0.005343063,"domain_scores_codex":[0.9997633,0.00001724965,0.00001640927,0.00005414783,0.0001088998,0.00003990612],"domain_scores_gemma":[0.9999201,0.00001832655,0.000007321548,0.00002257998,0.00002125356,0.00001044385],"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":[0.000075786,0.00003848864,0.0001357625,0.0001028443,0.000008092918,0.00007277426,0.00004796146,0.0001196225,0.9933679,0.0002895209,0.0003448976,0.005396491],"study_design_scores_gemma":[0.000008357665,0.00002955523,0.0007530879,0.000002185886,0.000007254379,0.00006050158,0.00002195391,0.001407027,0.9953787,0.00003925856,0.002285899,0.000006245226],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976866,0.002030947,0.008104505,0.000299013,0.0001160517,0.00006162073,0.0003872111,0.0005531805,0.01158147],"genre_scores_gemma":[0.9909609,0.000660477,0.002827109,0.00003024687,0.00002195953,0.00003673733,0.0003702794,0.00006941727,0.005022896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001592936,"threshold_uncertainty_score":0.003769696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009878127620912596,"score_gpt":0.242120518425379,"score_spread":0.2322423908044664,"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."}}