{"id":"W4411966946","doi":"10.1016/j.cej.2025.165404","title":"Perovskite-socketed FeCoNiCu quaternary alloy nanoparticles for efficient CO2 reduction in solid oxide electrolyzer","year":2025,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Central South University","keywords":"Alloy; Electrolysis; Oxide; Perovskite (structure); Materials science; Nanoparticle; Quaternary; Reduction (mathematics); Chemical engineering; Metallurgy; Inorganic chemistry; Nanotechnology; Chemistry; Geology; Engineering; Electrode; Mathematics; Physical chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0003760663,0.0001910968,0.0002602033,0.0001399826,0.00007863633,0.00008229004,0.0002764449,0.00009569454,0.00005064255],"category_scores_gemma":[0.0002697955,0.0001863943,0.00009078918,0.0002010038,0.0000453863,0.0001340806,0.00006866822,0.000297409,0.00001547227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004193422,"about_ca_system_score_gemma":0.00006352475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001983646,"about_ca_topic_score_gemma":1.301859e-7,"domain_scores_codex":[0.9984043,0.00002050607,0.0005187656,0.0002897484,0.0001951891,0.0005714872],"domain_scores_gemma":[0.9994346,0.00009190878,0.0001029119,0.0001775217,0.00008005671,0.0001130011],"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":[0.0001104225,0.0000726987,0.00003316109,0.00005642315,0.00001194419,0.000007950784,0.00006358734,0.1253729,0.874018,0.00006334482,0.0001196978,0.00006988828],"study_design_scores_gemma":[0.00106199,0.0000268968,0.00007836854,0.0001362917,0.00001579568,0.00008216788,0.0000367832,0.03627907,0.9616838,0.0001445344,0.0002776476,0.0001767191],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846725,0.000359129,0.0137384,0.0001559491,0.0007683716,0.0001993913,0.000003749863,0.00008142772,0.00002109342],"genre_scores_gemma":[0.9848346,0.00002303957,0.01471965,0.0000369343,0.0001589218,0.00004621704,0.000002808022,0.00002694082,0.0001508496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08909379,"threshold_uncertainty_score":0.7600939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007213874386569316,"score_gpt":0.2554987069498001,"score_spread":0.2482848325632308,"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."}}