{"id":"W4415607750","doi":"10.1016/j.apcatb.2025.126133","title":"Hydroxyl-mediated interfacial oxophilicity engineering for efficient CO2-to-C2+ oxygenates conversion at industrial current densities","year":2025,"lang":"en","type":"article","venue":"Applied Catalysis B: Environmental","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Toronto; University of Waterloo","funders":"Government of Saskatchewan; Natural Sciences and Engineering Research Council of Canada; National Research Council; Canadian Institutes of Health Research; University of Toronto; National Research Council Canada; Canada Foundation for Innovation; University of Saskatchewan","keywords":"Oxygenate; Faraday efficiency; Deoxygenation; Catalysis; Selectivity; Reaction intermediate; Work (physics); Coupling (piping); Density functional theory","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001847682,0.0003517512,0.0004093587,0.0003197316,0.0002394263,0.00003716316,0.0002832614,0.0001901265,0.0002242114],"category_scores_gemma":[0.00002332905,0.0003741157,0.0002379758,0.0003071027,0.0001028156,0.00004406194,0.0004616694,0.0002071093,0.0002145865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009916471,"about_ca_system_score_gemma":0.00001952667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008723696,"about_ca_topic_score_gemma":0.00001306887,"domain_scores_codex":[0.9981673,0.00001547942,0.0004585168,0.0006223762,0.0003100035,0.0004262609],"domain_scores_gemma":[0.9992111,0.0000926529,0.0001134089,0.0004145388,0.000009978866,0.0001582696],"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":[0.0009390301,0.0006545766,0.0005440249,0.0001028479,0.0005710332,0.000004104649,0.001001623,0.03783627,0.9264336,0.00294398,0.004806647,0.02416223],"study_design_scores_gemma":[0.001573568,0.00006659631,0.000503726,0.00003222808,0.0002495876,0.000003786337,0.0004063909,0.005290329,0.8859884,0.00006784645,0.1052874,0.0005301892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957633,0.0001369574,0.001794645,0.0001140723,0.0006016117,0.0007662264,0.0001474955,0.0002246653,0.0004510476],"genre_scores_gemma":[0.9972759,0.00003116712,0.00007413908,0.00008582362,0.0001872961,0.0003727846,0.00141881,0.00003878562,0.0005152472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1004807,"threshold_uncertainty_score":0.9998711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008439512691892666,"score_gpt":0.2069596671554404,"score_spread":0.1985201544635477,"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."}}