{"id":"W4406692843","doi":"10.1016/j.nanoen.2025.110683","title":"Recent breakthroughs in electrocatalytic reduction of nitrogen-oxyanions for environmentally benign ammonia synthesis","year":2025,"lang":"en","type":"article","venue":"Nano Energy","topic":"Ammonia Synthesis and Nitrogen Reduction","field":"Chemical Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Education and Child Care","funders":"Natural Science Foundation of Sichuan Province; Ministry of Education of the People's Republic of China; Major Science and Technology Project of Hainan Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Materials science; Ammonia; Ammonia production; Reduction (mathematics); Electrocatalyst; Nitrogen; Inorganic chemistry; Nanotechnology; Electrochemistry; Organic chemistry; Electrode; Chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007174159,0.0005386077,0.0003161284,0.0003152027,0.0001824799,0.0006267363,0.0004064853,0.0006205533,0.001262383],"category_scores_gemma":[0.000637969,0.0002312336,0.0002596044,0.0003690686,0.0004422661,0.0008666315,0.0005882678,0.0008345438,0.0006451132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005669706,"about_ca_system_score_gemma":0.000332557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005208741,"about_ca_topic_score_gemma":0.001233634,"domain_scores_codex":[0.9997802,0.00002987718,0.00001735767,0.00004924327,0.00008134885,0.00004180745],"domain_scores_gemma":[0.9997428,0.00008593592,0.0000237577,0.00001826705,0.0001014957,0.00002767852],"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":[0.0004366237,0.0001841312,0.0004970821,0.003337653,0.0000900153,0.0003336539,0.0003100623,0.001196597,0.7676638,0.01807531,0.006768823,0.2011062],"study_design_scores_gemma":[0.00003525831,0.0003747943,0.0009456301,0.0001327142,0.00006954539,0.0003936863,0.0001047946,0.002980463,0.760011,0.003542961,0.2313717,0.00003740824],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2933202,0.561428,0.06555212,0.008804604,0.003484682,0.0001267077,0.0003476744,0.0006253503,0.06631067],"genre_scores_gemma":[0.6603234,0.271638,0.02906438,0.002736896,0.001160544,0.00008034781,0.0007317638,0.0001614464,0.03410311],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001262383,"threshold_uncertainty_score":0.004223108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007207651740094115,"score_gpt":0.2175158141459473,"score_spread":0.2103081624058532,"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."}}