{"id":"W4214726573","doi":"10.1002/aenm.202200195","title":"Highly‐Exposed Single‐Interlayered Cu Edges Enable High‐Rate CO<sub>2</sub>‐to‐CH<sub>4</sub> Electrosynthesis","year":2022,"lang":"en","type":"article","venue":"Advanced Energy Materials","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Key Research and Development Program of China; Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China","keywords":"Electrosynthesis; Materials science; Faraday efficiency; Electrolysis; Current density; Density functional theory; Electrochemistry; Catalysis; Single crystal; Nanosheet; Chemical engineering; Inorganic chemistry; Nanotechnology; Physical chemistry; Electrode; Crystallography; Electrolyte; Chemistry; Computational 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":[0.00004001264,0.0002178408,0.0001198737,0.0001224613,0.0001181239,0.0002932269,0.0002173394,0.0002139453,0.0005992277],"category_scores_gemma":[0.0001252084,0.0001817467,0.0001119522,0.00009725006,0.0001883569,0.0002196878,0.0001808663,0.0002491981,0.0001784574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002051833,"about_ca_system_score_gemma":0.0001082903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005520731,"about_ca_topic_score_gemma":0.001251163,"domain_scores_codex":[0.9999537,0.00000400771,0.000001971091,0.000009679407,0.00001501107,0.00001553516],"domain_scores_gemma":[0.9999275,0.00001385442,0.00002206004,0.00001120296,0.00001441712,0.00001089823],"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":[0.00002572722,0.000007645566,0.0001145922,0.00002666504,0.000004422265,0.00003141182,0.000008288001,0.0002948096,0.9974788,0.0002466482,0.00009998205,0.001661152],"study_design_scores_gemma":[0.000003518123,0.00002931726,0.0009859258,0.000001815827,0.000004144895,0.00003823917,0.00001256404,0.001918806,0.9958449,0.00004251677,0.001115066,0.000003126092],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909744,0.0003327849,0.006036856,0.00005109989,0.00003785106,0.00001018117,0.0000827663,0.000153708,0.002320342],"genre_scores_gemma":[0.9958435,0.0001183591,0.003189705,0.00001013936,0.000003926698,0.000006478911,0.00004551751,0.00001965976,0.0007627117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005992277,"threshold_uncertainty_score":0.002004623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030678317558107,"score_gpt":0.2175285793566759,"score_spread":0.2072217961810948,"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."}}