{"id":"W4405835932","doi":"10.1016/j.desal.2024.118497","title":"Cellulosic aerogel-encapsulated carbon dots for enhanced mercury detection and adsorption in aqueous systems with subsequent upcycling for organic pollutant photocatalytic degradation","year":2024,"lang":"en","type":"article","venue":"Desalination","topic":"Carbon and Quantum Dots Applications","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Hebei Province; National Natural Science Foundation of China","keywords":"Aerogel; Aqueous solution; Adsorption; Pollutant; Photocatalysis; Cellulosic ethanol; Degradation (telecommunications); Mercury (programming language); Chemical engineering; Materials science; Chemistry; Environmental chemistry; Cellulose; Nanotechnology; Organic chemistry; Catalysis","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":[0.0001094493,0.0002479316,0.000147748,0.000125067,0.0001570744,0.0002439721,0.0002375825,0.000356972,0.0009305492],"category_scores_gemma":[0.000152119,0.0001628937,0.0001489776,0.0001349807,0.0001416445,0.0002927015,0.0001781114,0.0003566846,0.000239921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000429607,"about_ca_system_score_gemma":0.000152106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009604823,"about_ca_topic_score_gemma":0.002798628,"domain_scores_codex":[0.9998776,0.00001161203,0.00001096028,0.00003940638,0.00003523657,0.00002518463],"domain_scores_gemma":[0.9999386,0.00001484681,0.00001240178,0.000009185349,0.00001527429,0.000009649978],"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":[0.00002598636,0.00001101955,0.00004623119,0.00002029165,0.000002893586,0.00001931194,0.00001593193,0.0001198094,0.9980685,0.0001126875,0.00004423886,0.001513185],"study_design_scores_gemma":[0.000001924335,0.00002099554,0.0001971615,7.723729e-7,0.000002650732,0.00001028965,0.000004159622,0.0008983391,0.9984609,0.00000853911,0.0003917004,0.000002683104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920735,0.0005590477,0.005519366,0.00006349643,0.00003542251,0.00002000406,0.0001222357,0.0001197484,0.001487222],"genre_scores_gemma":[0.9954408,0.000206725,0.002784444,0.00001943188,0.000004298194,0.00001550148,0.00007222693,0.00002066721,0.00143583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009604823,"threshold_uncertainty_score":0.003116965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01384915416086784,"score_gpt":0.249581787936674,"score_spread":0.2357326337758062,"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."}}