{"id":"W4396626825","doi":"10.1088/2977-3504/ad470a","title":"Surface hydroxyl manipulation of BiOCl nanosheets for promoted O<sub>2</sub> activation and photocatalytic NO removal","year":2024,"lang":"en","type":"article","venue":"Sustainability Science and Technology","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Photocatalysis; Chemical engineering; Chemistry; Materials science; Photochemistry; Catalysis; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002693192,0.0001674125,0.0002512868,0.0004059691,0.00030351,0.0002051725,0.0004486777,0.0001524647,0.000005915004],"category_scores_gemma":[0.003940609,0.0001485521,0.00002038838,0.001895775,0.003568955,0.0009977013,0.0003788364,0.00008882756,0.000006088544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002985078,"about_ca_system_score_gemma":0.0009146844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003521161,"about_ca_topic_score_gemma":0.000004909472,"domain_scores_codex":[0.9978514,0.00002116299,0.0003623815,0.0008968956,0.0003991101,0.0004690191],"domain_scores_gemma":[0.9980546,0.0001476531,0.0001235956,0.0004482456,0.001155998,0.00006992706],"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":[0.00002877538,0.00002813117,0.0001032674,0.0008410527,0.000001622124,0.0000032473,0.0001652325,0.00001611243,0.9873072,0.006727422,0.00001363228,0.004764299],"study_design_scores_gemma":[0.0001437908,0.0001975424,0.0001997356,0.00006204404,0.0000116857,0.00005517579,0.0003205477,0.01315447,0.920346,0.06517761,0.0001798387,0.0001515572],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941157,0.0001145539,0.002604841,0.001349499,0.0003016002,0.001224229,0.00001655134,0.0002313513,0.00004167958],"genre_scores_gemma":[0.9981724,0.00001325208,0.001690288,0.00001542207,0.00001879825,0.00005387501,0.000003580992,0.0000107341,0.00002164944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06696121,"threshold_uncertainty_score":0.9991428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008029733151742416,"score_gpt":0.2632802955664962,"score_spread":0.2552505624147537,"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."}}