{"id":"W4399940350","doi":"10.1038/s41578-024-00696-9","title":"Materials challenges on the path to gigatonne CO2 electrolysis","year":2024,"lang":"en","type":"review","venue":"Nature Reviews Materials","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Agencia Estatal de Investigación; Generalitat de Catalunya; Institut de Ciències Fotòniques; Centres de Recerca de Catalunya; “la Caixa” Foundation","keywords":"Software deployment; Material efficiency; Greenhouse gas; Renewable energy; Resource (disambiguation); Life-cycle assessment; Sustainability; Resource efficiency; Environmental economics; Scalability; Environmental science; Fossil fuel; Scale (ratio); Computer science; Process engineering; Waste management; Engineering; Production (economics)","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":[0.00077273,0.0006421969,0.0008717111,0.000996979,0.0002663321,0.001207101,0.0008665204,0.001284255,0.005725491],"category_scores_gemma":[0.0006129727,0.0003410786,0.000346535,0.00133125,0.0006967995,0.002285637,0.001009259,0.00228103,0.002872666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000815589,"about_ca_system_score_gemma":0.001296854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001260153,"about_ca_topic_score_gemma":0.003413188,"domain_scores_codex":[0.9997868,0.00002964549,0.00001557718,0.00002512532,0.0001074736,0.00003532411],"domain_scores_gemma":[0.9997674,0.0001156477,0.00002089866,0.000009947299,0.00006556508,0.00002058926],"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":[0.0001076353,0.00006662611,0.00007999481,0.01914944,0.00008330051,0.0002367071,0.0000978516,0.0008240509,0.008780974,0.04949349,0.09016128,0.8309186],"study_design_scores_gemma":[0.000006527015,0.0000305741,0.0001360762,0.001304519,0.00001861083,0.0001724404,0.0000388047,0.0000708983,0.0009160736,0.005753112,0.9915435,0.000008813357],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001874995,0.9944332,0.0002883891,0.001260591,0.0006019092,0.000003593725,0.00002016867,0.00001386063,0.003190816],"genre_scores_gemma":[0.001604986,0.9950315,0.0002555053,0.0006434458,0.0003275411,0.000005762274,0.00002863302,0.000004918896,0.002097691],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005725491,"threshold_uncertainty_score":0.01915371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04593379594547563,"score_gpt":0.3460849155797889,"score_spread":0.3001511196343132,"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."}}