{"id":"W2600150897","doi":"10.1021/acssuschemeng.7b00023","title":"Nanomorphology-Enhanced Gas-Evolution Intensifies CO<sub>2</sub> Reduction Electrochemistry","year":2017,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tafel equation; Limiting current; Catalysis; Mass transport; Current density; Electrochemistry; Selectivity; Electrode; Current (fluid); Diffusion; Chemical engineering; Nucleation; Chemistry; Gas diffusion electrode; Nanoparticle; Materials science; Surface diffusion; Nanotechnology; Chemical physics; Thermodynamics; Physical chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001872389,0.0003424526,0.0003083087,0.0000629386,0.0005271657,0.000172088,0.0004590835,0.0003332393,0.00006370935],"category_scores_gemma":[0.0004288147,0.0004141159,0.0001302569,0.0001468966,0.0001352962,0.0004107986,0.0001685903,0.0004533807,0.00001529422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007543463,"about_ca_system_score_gemma":0.0001140077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001024912,"about_ca_topic_score_gemma":6.827737e-7,"domain_scores_codex":[0.9981759,0.000007621294,0.0003198625,0.0005293398,0.0001970273,0.0007702106],"domain_scores_gemma":[0.9982269,0.00001479712,0.0002309727,0.001005474,0.0003809681,0.0001409124],"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":[0.00003104801,0.0000279942,0.000004672066,0.0002943147,0.00004719186,0.00004135645,0.00006129543,0.001022608,0.9951139,0.0009390149,0.001041797,0.001374782],"study_design_scores_gemma":[0.0002700514,0.00001931248,0.00006173047,0.0000516197,0.00003347341,0.0003104888,0.000894082,0.0001637559,0.9904136,0.0006536089,0.006713781,0.0004144846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876903,0.0003071525,0.003167957,0.0002429466,0.0001827822,0.0001410123,0.000003511973,0.0007022461,0.007562118],"genre_scores_gemma":[0.9943864,0.0001480495,0.0001269945,0.000007479086,0.0005169424,0.0001234183,0.00008508052,0.00006676502,0.004538885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006696112,"threshold_uncertainty_score":0.9998311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004467511747914613,"score_gpt":0.2068541121119584,"score_spread":0.2023866003640438,"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."}}