{"id":"W3118309275","doi":"10.1038/s41565-020-00823-x","title":"An industrial perspective on catalysts for low-temperature CO2 electrolysis","year":2021,"lang":"en","type":"review","venue":"Nature Nanotechnology","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":558,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Government of Canada; Canadian Institute for Advanced Research; Natural Resources Canada; U.S. Department of Energy","keywords":"Nanomaterial-based catalyst; Electrolysis of water; Process engineering; Electrochemistry; Nanotechnology; Electrolysis; Formic acid; Faraday efficiency; Catalysis; Materials science; Environmental science; Computer science; Biochemical engineering; Chemistry; Engineering; Organic 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","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0003150782,0.001035339,0.003140858,0.001313321,0.0002695847,0.0001071466,0.001271119,0.01466509,0.00008640202],"category_scores_gemma":[0.0007456612,0.000891083,0.001487554,0.0023103,0.0001668829,0.0001098682,0.0001387072,0.006713845,0.00003694425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001401381,"about_ca_system_score_gemma":0.0009095674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001039777,"about_ca_topic_score_gemma":0.000227571,"domain_scores_codex":[0.9958553,0.0002624074,0.0007922177,0.001861715,0.0004090842,0.0008193162],"domain_scores_gemma":[0.9964883,0.0002171869,0.0005994544,0.001966038,0.0005832129,0.0001457826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006219395,0.0002639192,3.037214e-8,0.0006650973,0.0007075767,0.00006436594,0.00002425732,0.000002014579,0.0005517565,0.1192859,0.01678688,0.861586],"study_design_scores_gemma":[0.0004955597,0.0005623305,1.948519e-8,0.001992295,0.00109207,0.0002774315,0.00009546361,9.450732e-7,0.02410382,0.001200847,0.9693552,0.0008240563],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001003941,0.9942903,0.00001487412,0.0006520536,0.001404731,0.001543469,0.000291087,0.001171294,0.0005318252],"genre_scores_gemma":[0.0015815,0.9900386,0.0002104359,0.0002207695,0.002036402,0.001278785,0.003365035,0.0002511862,0.001017256],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9525683,"threshold_uncertainty_score":0.999354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734681917180758,"score_gpt":0.3313323300616661,"score_spread":0.3139855108898585,"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."}}