{"id":"W4288695396","doi":"10.1021/jacs.2c01044","title":"Mechanistic Insights into OC–COH Coupling in CO<sub>2</sub> Electroreduction on Fragmented Copper","year":2022,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":217,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"H2020 European Research Council; Engineering and Physical Sciences Research Council; Solar Technologies go Hybrid; Qinghai Nationalities University; Deutsche Forschungsgemeinschaft; Department of Education, Fujian Province; Center for NanoScience, Ludwig-Maximilians-Universität München; National Natural Science Foundation of China","keywords":"Chemistry; Copper; Coupling (piping); Electrochemistry; Computational chemistry; Inorganic chemistry; Electrode; Physical chemistry; Metallurgy; Organic 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002736799,0.0001487398,0.0003136602,0.00005681517,0.00021021,0.00001877671,0.000354483,0.00004346948,0.00003287652],"category_scores_gemma":[0.00004864526,0.0001147581,0.0004178983,0.0006974323,0.0001426847,0.00005874713,0.00011798,0.0009149432,0.000002512661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001175723,"about_ca_system_score_gemma":0.00009297341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001550419,"about_ca_topic_score_gemma":0.000003761053,"domain_scores_codex":[0.9985545,0.00006698592,0.0004230395,0.0001862151,0.000546089,0.0002231414],"domain_scores_gemma":[0.9989877,0.0000583431,0.0005943311,0.0002120115,0.00007210576,0.00007546573],"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":[0.0001333977,0.0001795671,0.0000396985,0.00000553842,0.00006518605,0.00000303942,0.0003917045,0.003114981,0.9858136,0.0002524955,0.007513143,0.002487635],"study_design_scores_gemma":[0.0003397592,0.0002546613,0.00007688233,0.00002263756,0.00003627455,0.00007203165,0.001875459,0.001489197,0.9885836,0.002041546,0.005061196,0.000146725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981108,0.0000989962,0.0001922582,0.001103115,0.000285848,0.0000839658,0.000001420957,0.00003311684,0.00009052944],"genre_scores_gemma":[0.9984084,0.0001732685,0.0002209055,0.0008235364,0.0003034328,0.00001900241,0.000005795904,0.00002528368,0.00002034236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002770017,"threshold_uncertainty_score":0.4679699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007021897027544766,"score_gpt":0.2417568695012918,"score_spread":0.2347349724737471,"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."}}