{"id":"W4404917634","doi":"10.1016/j.seppur.2024.130876","title":"N, S-CDs encapsulated polyamide fluorescent membranes: An efficient strategy for the retention and detection of mercury (II) ions in aqueous environments","year":2024,"lang":"en","type":"article","venue":"Separation and Purification Technology","topic":"Molecular Sensors and Ion Detection","field":"Chemistry","cited_by":8,"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":"Mercury (programming language); Aqueous solution; Membrane; Polyamide; Fluorescence; Ion; Chemistry; Chemical engineering; Chromatography; Polymer chemistry; Organic chemistry; Computer science","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":[0.0001647037,0.0003437206,0.0001067779,0.00007949474,0.0001239492,0.000229377,0.0002741542,0.000348477,0.0003052825],"category_scores_gemma":[0.0001405526,0.0001401925,0.0001427433,0.00009933841,0.0002079652,0.0003243814,0.0002382605,0.0003130152,0.0002017672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003842957,"about_ca_system_score_gemma":0.0002612486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009611544,"about_ca_topic_score_gemma":0.001289866,"domain_scores_codex":[0.9999307,0.00001071781,0.000004688992,0.00002168476,0.00001625308,0.00001597494],"domain_scores_gemma":[0.9999495,0.000007267563,0.00001698296,0.000005789368,0.00001063859,0.00000997696],"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":[0.00002418037,0.000005913123,0.00003205512,0.00002171425,0.000001959015,0.00002533224,0.00001108949,0.00005469916,0.9982272,0.0001512466,0.00004526877,0.001399497],"study_design_scores_gemma":[0.00000224721,0.00001867578,0.0001278776,0.00000113047,0.000002583583,0.00003624765,0.000003391719,0.0004169267,0.9986295,0.000009581178,0.0007497419,0.000002122814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729355,0.0009525564,0.02278785,0.000199034,0.00003465728,0.000025968,0.00009836382,0.000202448,0.00276364],"genre_scores_gemma":[0.9829154,0.0006319607,0.01256598,0.00007428163,0.000008878234,0.00002185959,0.00009163158,0.00002171428,0.003668374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009611544,"threshold_uncertainty_score":0.002788305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01395447831275849,"score_gpt":0.2653146312251717,"score_spread":0.2513601529124132,"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."}}