{"id":"W7154601279","doi":"10.29363/nanoge.matsusspring.2026.624","title":"Autoammonia: A Decentralized Self Driving Platform for Catalyst-Electrolyte Co-Optimization in Nitrate-to-Ammonia Reduction","year":2025,"lang":"","type":"article","venue":"","topic":"Ammonia Synthesis and Nitrogen Reduction","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vector Institute; University of Toronto","funders":"","keywords":"Reduction (mathematics); Automation; Work (physics); Measure (data warehouse); Power (physics); Control (management)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007145146,0.000806723,0.001045945,0.001067778,0.0003950327,0.0002735789,0.0004283589,0.0007548857,0.0002268693],"category_scores_gemma":[0.0003402871,0.0008988821,0.0004365846,0.001943826,0.00006012545,0.0006806477,0.00008888818,0.0005976622,0.00004530504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001929811,"about_ca_system_score_gemma":0.0004780253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003460869,"about_ca_topic_score_gemma":0.0001676221,"domain_scores_codex":[0.9950947,0.00007655245,0.001640037,0.001260876,0.0004012453,0.001526581],"domain_scores_gemma":[0.9981834,0.0002763873,0.0002891646,0.0006233242,0.0002657973,0.0003619678],"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":[0.002087577,0.001361113,0.0009229333,0.0009314099,0.001259329,0.00000821777,0.001669953,0.388329,0.5662932,0.006255916,0.002016414,0.02886486],"study_design_scores_gemma":[0.002207096,0.0001095364,0.0001486532,0.0003703546,0.0003522514,0.00001802173,0.0004019688,0.4606732,0.5317933,0.0001815957,0.00306053,0.0006835378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5600818,0.001252089,0.428811,0.001644935,0.001376524,0.004044602,0.00004157771,0.0007976917,0.001949678],"genre_scores_gemma":[0.9309158,0.0005915841,0.06510371,0.00008370425,0.0002716369,0.0007769555,0.0001720386,0.0001447363,0.001939802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.370834,"threshold_uncertainty_score":0.9993462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009117083363630152,"score_gpt":0.259545000487339,"score_spread":0.2504279171237089,"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."}}