{"id":"W4386171249","doi":"10.1016/j.cej.2023.145661","title":"Green ammonia to Hydrogen: Reduction and oxidation catalytic processes","year":2023,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Ammonia Synthesis and Nitrogen Reduction","field":"Chemical Engineering","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ammonia; Hydrogen; Decomposition; Energy carrier; Catalysis; Chemistry; Ammonia production; Fossil fuel; Hydrogen production; Electrolysis; Thermal decomposition; Waste management; Inorganic chemistry; Process engineering; Chemical engineering; Organic chemistry; Electrolyte; Engineering","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":[0.0002558808,0.0003492318,0.0004143126,0.0003594043,0.0003250575,0.0006056302,0.0004465509,0.000843594,0.001792016],"category_scores_gemma":[0.0002440326,0.0002255404,0.0003313721,0.0003761024,0.0004673576,0.0008470342,0.0006625405,0.0008306863,0.0008026012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006575577,"about_ca_system_score_gemma":0.0003540397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000666319,"about_ca_topic_score_gemma":0.001652148,"domain_scores_codex":[0.9997075,0.00003557628,0.00000710608,0.00003851797,0.0001648467,0.00004637106],"domain_scores_gemma":[0.9999567,0.00001146493,0.000004812781,0.000005686883,0.00001368698,0.000007584069],"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":[0.0002651681,0.0003574665,0.0004405723,0.001148082,0.00006319112,0.0003620004,0.000212766,0.001707887,0.8301741,0.0400103,0.004815589,0.1204428],"study_design_scores_gemma":[0.00002520407,0.0003078686,0.0008500264,0.00003219499,0.00002876271,0.0004207462,0.00009991264,0.005314791,0.9264923,0.006239144,0.06016852,0.00002057147],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6063348,0.0943899,0.1112555,0.00486039,0.002724706,0.0003069168,0.000431136,0.0008086155,0.178888],"genre_scores_gemma":[0.8889029,0.02972028,0.0201632,0.0007338576,0.0002475304,0.00008578131,0.0003055581,0.0001278494,0.05971298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001792016,"threshold_uncertainty_score":0.005994856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01114944021344349,"score_gpt":0.215511382100995,"score_spread":0.2043619418875515,"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."}}