{"id":"W4413445068","doi":"10.1021/acsami.5c12891","title":"Cationic Defect Engineering for Promoting Oxidation of 5-Hydroxymethylfurfural While Passivating OER","year":2025,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"Natural Science Foundation of Hebei Province; National Natural Science Foundation of China","keywords":"Materials science; Cationic polymerization; 5-hydroxymethylfurfural; Chemical engineering; Catalysis; Nanotechnology; Organic chemistry; Chemistry; Polymer chemistry; 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":[0.0001348423,0.0003931097,0.0001967855,0.0001652421,0.00007691487,0.0002137326,0.0003979884,0.0004053662,0.000388998],"category_scores_gemma":[0.0002305043,0.0001319076,0.0001948906,0.0001339995,0.0001626267,0.0003677392,0.0002176484,0.0002760086,0.0001269334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002385037,"about_ca_system_score_gemma":0.0001395132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004125233,"about_ca_topic_score_gemma":0.0008265222,"domain_scores_codex":[0.9998692,0.00001254726,0.0000123054,0.00003019278,0.00004834166,0.0000273651],"domain_scores_gemma":[0.9999098,0.00001288051,0.00003733536,0.000008838721,0.00002042314,0.00001081134],"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":[0.00001131329,0.000006671507,0.00005223854,0.00004425288,0.000002243768,0.00002840453,0.000007962019,0.00008179876,0.9981,0.0001330676,0.00001908922,0.001512984],"study_design_scores_gemma":[0.000003976694,0.00005034753,0.0002501877,0.000002633982,0.000005124113,0.00009230139,0.000006866348,0.001186108,0.9972627,0.00002387459,0.001112489,0.000003413401],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982176,0.001265177,0.01481522,0.000106376,0.00004023099,0.0000427214,0.00008611989,0.0001291887,0.001338937],"genre_scores_gemma":[0.9910544,0.0005421491,0.007497028,0.00002611524,0.000006620648,0.00002081414,0.00006061458,0.00001547426,0.0007768539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004125233,"threshold_uncertainty_score":0.001730502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01090423530165607,"score_gpt":0.2531878520457577,"score_spread":0.2422836167441016,"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."}}