{"id":"W3154713462","doi":"10.1007/s41918-021-00100-y","title":"Electrolyzer and Catalysts Design from Carbon Dioxide to Carbon Monoxide Electrochemical Reduction","year":2021,"lang":"en","type":"article","venue":"Electrochemical Energy Reviews","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Electrochemical reduction of carbon dioxide; Electrolysis; Carbon monoxide; Catalysis; Electrochemistry; Redox; Nanotechnology; Materials science; Chemical engineering; Chemistry; Electrode; Inorganic chemistry; Organic chemistry; Engineering","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":[0.0004319468,0.0006724105,0.000759988,0.001144643,0.0003190956,0.001114764,0.001057117,0.001116301,0.002476943],"category_scores_gemma":[0.0004809051,0.0005606098,0.0005125302,0.001166485,0.0005604786,0.001531919,0.000542648,0.001885138,0.001580803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024415,"about_ca_system_score_gemma":0.0006225354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009000752,"about_ca_topic_score_gemma":0.001681115,"domain_scores_codex":[0.9995663,0.00002922026,0.00002763039,0.00009353971,0.0002455868,0.00003778936],"domain_scores_gemma":[0.9998482,0.00003414266,0.000009929517,0.000012854,0.00008484491,0.000009938981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001679477,0.0001909472,0.0003288494,0.007852984,0.0001266644,0.0002855556,0.0001515418,0.004362847,0.252385,0.08662859,0.01583548,0.6316836],"study_design_scores_gemma":[0.0000267812,0.0002831419,0.0006807979,0.0005181762,0.00007181719,0.0006784083,0.00006847493,0.002723931,0.2229145,0.01419909,0.7577975,0.00003732826],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01885343,0.8611048,0.06253153,0.004037987,0.002744611,0.0001323923,0.0001776596,0.0003210817,0.0500965],"genre_scores_gemma":[0.1105836,0.7995914,0.03590604,0.00160337,0.001283614,0.0001298323,0.000419288,0.0001597042,0.05032308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002476943,"threshold_uncertainty_score":0.008286178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316301893862681,"score_gpt":0.2387056134963471,"score_spread":0.2255425945577203,"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."}}