{"id":"W3128945229","doi":"10.1021/acsenergylett.0c02401","title":"Self-Cleaning CO<sub>2</sub> Reduction Systems: Unsteady Electrochemical Forcing Enables Stability","year":2021,"lang":"en","type":"article","venue":"ACS Energy Letters","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":380,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Total; University of Toronto; Canada Research Chairs; Government of Ontario","keywords":"Electrochemistry; Electrolysis; Cathode; Gas diffusion electrode; Chemical engineering; Electrode; Selectivity; Copper; Materials science; Gaseous diffusion; Catalysis; Inorganic chemistry; Membrane electrode assembly; Chemistry; Metallurgy; Anode; Electrolyte","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":[0.0002514076,0.0002926697,0.0003469065,0.0001170169,0.0002281939,0.0001271926,0.0001993055,0.0001963103,0.00003067763],"category_scores_gemma":[0.00005156256,0.0003228174,0.0001639518,0.0004627859,0.00006869288,0.0002892609,0.00008322349,0.0002775342,0.00001345743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005194503,"about_ca_system_score_gemma":0.00009432509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004608746,"about_ca_topic_score_gemma":0.00005874764,"domain_scores_codex":[0.997715,0.0001907772,0.0004850619,0.0006724538,0.0003731925,0.0005635134],"domain_scores_gemma":[0.9988595,0.00006060342,0.0001706257,0.0006197435,0.0001555633,0.0001339412],"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":[0.00002130308,0.00006617022,0.0000222684,0.00007197517,0.00009827972,0.00002670577,0.0001776464,0.0004264279,0.9855904,0.006798583,0.003446539,0.003253713],"study_design_scores_gemma":[0.0001912853,0.00002585757,0.000007463325,0.00004713826,0.00005481638,0.0002891053,0.0004874883,0.0002531292,0.9676733,0.0001769625,0.03045113,0.0003423479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890739,0.0005086797,0.005506841,0.00102329,0.0005380805,0.00009286279,0.000003281829,0.0008865017,0.002366537],"genre_scores_gemma":[0.9976245,0.0002408938,0.0004568901,0.0005330495,0.0006781077,0.00008748948,0.0002145967,0.00006651976,0.00009796902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02700459,"threshold_uncertainty_score":0.9999224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009015416215025225,"score_gpt":0.2094779326739819,"score_spread":0.2004625164589567,"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."}}