{"id":"W4411217248","doi":"10.1021/jacs.5c00400","title":"Selective Mass Accumulation at the Metal–Polymer Bridging Interface for Efficient Nitrate Electroreduction to Ammonia and Zn-Nitrate Batteries","year":2025,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Ammonia Synthesis and Nitrogen Reduction","field":"Chemical Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Engineering and Physical Sciences Research Council; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China; UK Research and Innovation; HORIZON EUROPE Framework Programme; Government of the United Kingdom","keywords":"Chemistry; Ammonia; Nitrate; Bridging (networking); Inorganic chemistry; Metal; Environmental chemistry; Organic 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":[0.00008446883,0.0003007098,0.0001341933,0.0001500989,0.00009208288,0.000185933,0.0002236768,0.00021894,0.001485233],"category_scores_gemma":[0.0000870334,0.0001556308,0.00009291236,0.00009030622,0.0001361422,0.0001837225,0.0001770179,0.0002226875,0.0002679806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001631872,"about_ca_system_score_gemma":0.00008471582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002749426,"about_ca_topic_score_gemma":0.0005514517,"domain_scores_codex":[0.9999485,0.000004448117,0.000003425298,0.00001603291,0.00001779177,0.000009755422],"domain_scores_gemma":[0.9999622,0.00001045264,0.00000974239,0.000003674046,0.000007749316,0.000006101483],"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":[0.00001598015,0.000004544171,0.00002891247,0.00001258613,6.307474e-7,0.00001143957,0.000005116483,0.00002614254,0.9992938,0.00002402219,0.00003170348,0.0005451077],"study_design_scores_gemma":[0.000002966385,0.00002163095,0.0003878471,0.000001277623,0.000001423994,0.0000220433,0.000007351457,0.001182091,0.9978757,0.00001018264,0.0004859627,0.000001603881],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838271,0.0003706978,0.01235859,0.0001073542,0.00003142983,0.00002211761,0.0002535213,0.0003755,0.002653764],"genre_scores_gemma":[0.9832548,0.0004318175,0.0124243,0.00004115835,0.00001099597,0.00004947869,0.000186726,0.0000547768,0.003545763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001485233,"threshold_uncertainty_score":0.004968584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01072787605494474,"score_gpt":0.2698395822358536,"score_spread":0.2591117061809088,"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."}}