{"id":"W3192220742","doi":"10.3390/nano11082029","title":"Electrochemical Reduction of CO2: A Review of Cobalt Based Catalysts for Carbon Dioxide Conversion to Fuels","year":2021,"lang":"en","type":"review","venue":"Nanomaterials","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Engineering and Physical Sciences Research Council; Saudi Aramco; University of Exeter","keywords":"Cobalt; Electrochemical reduction of carbon dioxide; Carbon dioxide; Electrochemistry; Catalysis; Materials science; Carbon fibers; Reduction (mathematics); Inorganic chemistry; Chemical engineering; Chemistry; Electrode; Carbon monoxide; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006805392,0.0004277655,0.003389509,0.0002295853,0.00002662986,0.00001148689,0.0003333453,0.0004294482,0.0001735906],"category_scores_gemma":[0.0003395654,0.000388626,0.0008799576,0.0005700688,0.00005135877,0.00003801038,0.00009010494,0.00007902188,0.000005258966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002637191,"about_ca_system_score_gemma":0.0005421083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001613634,"about_ca_topic_score_gemma":0.000001557191,"domain_scores_codex":[0.996868,0.0002654506,0.001676439,0.0005778986,0.0003167176,0.0002955057],"domain_scores_gemma":[0.9973545,0.00009954793,0.001193981,0.0007823505,0.0004565846,0.0001130456],"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":[0.00007399022,0.0001279702,5.633379e-8,0.371514,0.0002455276,0.000002443306,0.00001305323,1.032369e-7,0.5042964,0.0003211114,0.00466306,0.1187422],"study_design_scores_gemma":[0.0001026702,0.0000832209,2.303808e-8,0.05330603,0.0006645003,0.00003598962,0.000002067133,8.235048e-8,0.4837789,0.000008494733,0.461834,0.0001840418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002822353,0.9964204,0.00004616211,0.00003720316,0.0007062522,0.001940472,0.0002203875,0.00008381415,0.0002630331],"genre_scores_gemma":[0.0003315083,0.9954683,0.0008246791,0.00003131217,0.0002690714,0.0007367379,0.002086433,0.00007758472,0.0001744099],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4571709,"threshold_uncertainty_score":0.9998566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02542591630980243,"score_gpt":0.3135666906027006,"score_spread":0.2881407742928982,"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."}}