{"id":"W4416901827","doi":"10.1002/cjce.70195","title":"Strengthening surface oxygen vacancies with triblock copolymers to balance nitrate and water adsorption for efficient electrochemical denitrification","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Ammonia Synthesis and Nitrogen Reduction","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Adsorption; Electrochemistry; Denitrification; Oxygen; Nitrate; Ammonia; Wastewater; Cobalt","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000230291,0.0001573352,0.0002170556,0.0001208094,0.00007438834,0.00005053209,0.0001739625,0.0000857081,0.000006586704],"category_scores_gemma":[0.0001523857,0.0001060524,0.00006358019,0.0002082115,0.00003885983,0.00004675328,0.000009545106,0.0002572341,9.102584e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002492094,"about_ca_system_score_gemma":0.0001410028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001149872,"about_ca_topic_score_gemma":0.00001836653,"domain_scores_codex":[0.9990608,0.000008674032,0.0002965493,0.0001395405,0.0001256536,0.0003687638],"domain_scores_gemma":[0.9993064,0.0001264568,0.00005789318,0.0001120174,0.0001372193,0.00025996],"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":[0.00008560402,0.000004558675,0.00003518159,0.00003561582,0.00006457116,7.598104e-7,0.0001626369,0.03446105,0.964559,0.0003493385,0.00004641939,0.0001953127],"study_design_scores_gemma":[0.0003221613,0.00002472097,0.00001742217,0.0001194231,0.00006607836,0.0000381171,0.00003930016,0.04905943,0.949805,0.00002156016,0.0003568016,0.0001300433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744137,0.0005697646,0.02377908,0.0009670677,0.00007473533,0.0001554963,0.000004697016,0.00001874039,0.00001676027],"genre_scores_gemma":[0.9973385,0.000002588894,0.002440124,0.00003930989,0.0001036205,0.0000120835,0.000004058243,0.00002248032,0.00003718862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02292488,"threshold_uncertainty_score":0.432469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00511351147534916,"score_gpt":0.1871674386604248,"score_spread":0.1820539271850757,"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."}}