{"id":"W4280525095","doi":"10.1021/acs.est.1c08937","title":"Catalytic Membrane with Copper Single-Atom Catalysts for Effective Hydrogen Peroxide Activation and Pollutant Destruction","year":2022,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Division of Engineering Education and Centers","keywords":"Hydrogen peroxide; Catalysis; Chemistry; Copper; Membrane; Aqueous solution; Radical; Sulfur; Peroxide; Inorganic chemistry; Photochemistry; Chemical engineering; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0002452835,0.0002118617,0.0002210198,0.000569568,0.0008268391,0.00001967611,0.0003863028,0.00008038953,0.00001775893],"category_scores_gemma":[0.00003079788,0.0002003853,0.00003505902,0.001019335,0.001569937,0.0004355003,0.0003914259,0.0002120615,0.000004879315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326656,"about_ca_system_score_gemma":0.00003194944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001251359,"about_ca_topic_score_gemma":0.00004256105,"domain_scores_codex":[0.9982492,0.00002690086,0.0001920512,0.0007299151,0.0003785883,0.0004233547],"domain_scores_gemma":[0.9992785,0.00004827047,0.0001635045,0.000428764,0.000008128004,0.00007286357],"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":[0.00008118769,0.00009135025,0.0007624052,0.000004358076,0.00001781325,0.000004100476,0.0001724288,0.0007998737,0.9714288,0.001084596,0.000003570127,0.02554948],"study_design_scores_gemma":[0.0004479761,0.000684395,0.0008513835,0.000006675606,0.0000343361,0.0002475858,0.000927228,0.0002264692,0.9915934,0.002077281,0.002655411,0.0002478562],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964283,0.00005104135,0.0016476,0.0002259541,0.00002973182,0.001054547,0.0000285031,0.0002796802,0.0002546311],"genre_scores_gemma":[0.9949884,0.000006021936,0.003702075,0.00005994079,0.00001102505,0.001099602,0.00004531133,0.00003388353,0.00005371738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02530162,"threshold_uncertainty_score":0.8171474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004973661247808648,"score_gpt":0.2136931592409188,"score_spread":0.2087194979931101,"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."}}