{"id":"W4417006956","doi":"10.2139/ssrn.5864403","title":"Operando Insights into Boosting Active Hydrogen on Reconstructed Multiphase Heterointerfaces for Efficient Nitrate-to-Ammonia Conversion","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Ammonia Synthesis and Nitrogen Reduction","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Faraday efficiency; Catalysis; Electrochemistry; Selectivity; Faradaic current; Boosting (machine learning); Energy conversion efficiency","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":[0.0000815964,0.000211809,0.0001927554,0.00009835849,0.0001706399,0.0006622422,0.0003771524,0.0004374795,0.003104233],"category_scores_gemma":[0.000129033,0.0001330961,0.0001119458,0.00009866239,0.0003036226,0.0003625636,0.0003038125,0.0005175612,0.0004938504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002001728,"about_ca_system_score_gemma":0.0001002931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001454316,"about_ca_topic_score_gemma":0.0003457722,"domain_scores_codex":[0.9999418,0.000003995439,0.000001589899,0.00001062755,0.00002558956,0.00001638317],"domain_scores_gemma":[0.9999629,0.00001479916,0.000005335125,0.00000579999,0.000006631027,0.000004386191],"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":[0.0001370068,0.00005933709,0.0002273146,0.00008468527,0.000006364486,0.0001361409,0.00006980557,0.001156231,0.9861042,0.006612155,0.0004610786,0.004945769],"study_design_scores_gemma":[0.00002192702,0.0001597326,0.0008470728,0.0000118057,0.000009295018,0.0001255058,0.000177805,0.0297454,0.961863,0.003180614,0.003847554,0.00001042739],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668263,0.0006637941,0.01751718,0.0004555147,0.0001472028,0.00002034108,0.0001671625,0.0002865193,0.01391606],"genre_scores_gemma":[0.9947194,0.000203114,0.003081364,0.00005949916,0.0000111765,0.00001090409,0.00005721121,0.00003701994,0.001820275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003104233,"threshold_uncertainty_score":0.01038474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015315582680492,"score_gpt":0.2516503719002254,"score_spread":0.2414972160734205,"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."}}