{"id":"W4412510691","doi":"10.1002/aenm.202405031","title":"2D Multivariate‐Metal‐Organic Frameworks (2D‐M<sup>2</sup>OF) for High Yield Ammonia Synthesis from Nitrate","year":2025,"lang":"en","type":"article","venue":"Advanced Energy Materials","topic":"Ammonia Synthesis and Nitrogen Reduction","field":"Chemical Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Simon Fraser University","funders":"Office of Energy Efficiency; Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; U.S. Department of Energy; National Science Foundation","keywords":"Yield (engineering); Materials science; Ammonia; Nitrate; Inorganic chemistry; Metal; Organic chemistry; Metallurgy; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006564211,0.0002966566,0.0001640207,0.0001441328,0.0001303472,0.0002216523,0.0003341304,0.000270905,0.0007057007],"category_scores_gemma":[0.00009659367,0.0001033914,0.000193316,0.0001293227,0.0001241375,0.0001820148,0.0002218532,0.0001333756,0.0001299807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002419512,"about_ca_system_score_gemma":0.0001294247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001152246,"about_ca_topic_score_gemma":0.004364317,"domain_scores_codex":[0.9999439,0.0000052988,0.00000180393,0.00001122773,0.00001764638,0.00002018544],"domain_scores_gemma":[0.9999726,0.000004846194,0.000008312953,0.000002888132,0.000004325724,0.000007027138],"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":[0.0000736606,0.00002453688,0.0004227521,0.0001797768,0.00002417687,0.0001490438,0.00002538057,0.001519841,0.9888808,0.0009069944,0.0004223211,0.007370818],"study_design_scores_gemma":[0.00002256689,0.0002451493,0.003568574,0.00001555877,0.00003397379,0.0005463877,0.00004638399,0.00938228,0.9716835,0.0002135781,0.01420882,0.00003325518],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844555,0.001358392,0.007874707,0.00006942565,0.00004525772,0.00002510541,0.0002544576,0.0002158608,0.005701264],"genre_scores_gemma":[0.9930289,0.0003508115,0.005428966,0.00002394937,0.000007188532,0.00001212053,0.00008718899,0.00001378828,0.001046978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001152246,"threshold_uncertainty_score":0.002360761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008105814113923328,"score_gpt":0.2231381208409011,"score_spread":0.2150323067269778,"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."}}