{"id":"W4390571142","doi":"10.1016/j.aca.2024.342211","title":"Fluorescent Eu-MOF@nanocellulose-based nanopaper for rapid and sensitive detection of uranium (Ⅵ)","year":2024,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"National Key Research and Development Program of China; Priority Academic Program Development of Jiangsu Higher Education Institutions; National Natural Science Foundation of China","keywords":"Chemistry; Europium; Fluorescence; Detection limit; Metal-organic framework; Uranyl; Aqueous solution; Uranium; Nanocomposite; Quenching (fluorescence); Lanthanide; Metal ions in aqueous solution; Cellulose; Chemical engineering; Metal; Ion; Chromatography; Adsorption; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002232869,0.0003232226,0.0002758127,0.0002489243,0.0002853242,0.0003385846,0.0005250881,0.0007563222,0.0009379909],"category_scores_gemma":[0.000350108,0.0002078623,0.0002457017,0.0002047955,0.0002190131,0.0003498167,0.0003436006,0.0004902116,0.0005000341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004900346,"about_ca_system_score_gemma":0.0002428084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001046337,"about_ca_topic_score_gemma":0.001799208,"domain_scores_codex":[0.9997571,0.00002514833,0.00001095865,0.00007197526,0.00007114126,0.00006365219],"domain_scores_gemma":[0.9998556,0.00004010484,0.00003041951,0.00001779156,0.00003051996,0.00002558494],"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":[0.00004104413,0.000008187896,0.00006286616,0.00004273804,0.000004509065,0.00004543822,0.00001554403,0.0000725127,0.9967237,0.0001429411,0.00009286215,0.002747805],"study_design_scores_gemma":[0.000001307044,0.00002320798,0.0002099398,0.000001755147,0.000003396667,0.00006253927,0.000006935375,0.000617767,0.9980835,0.00001180076,0.000973497,0.000004307365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9302263,0.004476062,0.05959476,0.0003468665,0.0001251349,0.00004544018,0.0003979625,0.0008815301,0.003905934],"genre_scores_gemma":[0.9502215,0.001392047,0.04195382,0.0001832679,0.00002307536,0.00004762582,0.0003334956,0.00005428115,0.005790761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001046337,"threshold_uncertainty_score":0.003555477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108113615512446,"score_gpt":0.2391015111885952,"score_spread":0.2282901496373506,"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."}}