{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001745771,0.0001069068,0.0001059381,0.0002303904,0.000164432,0.00003309871,0.00006110391,0.0002354938,0.00002282066],"category_scores_gemma":[0.00003063288,0.00009095148,0.00003001846,0.0002464101,0.00009840304,0.00007067871,0.00001537717,0.000144903,0.000001675962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003936025,"about_ca_system_score_gemma":0.00001520263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003617327,"about_ca_topic_score_gemma":0.0000398575,"domain_scores_codex":[0.9991545,0.00002787754,0.0003015939,0.000304776,0.00009623254,0.0001150359],"domain_scores_gemma":[0.9996134,0.00002770435,0.00009009583,0.0002148269,0.00002741397,0.00002656915],"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":[0.00003969409,0.00004971465,0.00001845037,0.000066628,0.00001525898,5.303814e-7,0.0001832411,0.0008129933,0.9022561,0.002146959,0.000003806958,0.09440659],"study_design_scores_gemma":[0.0002734052,0.0001262747,0.0005538586,0.00002833588,0.00003702088,0.00002400455,0.0005730554,0.2708824,0.7230833,0.0007392304,0.003582489,0.00009666135],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816782,0.003760306,0.01345161,0.0005332269,0.00008614091,0.0003245329,0.00001433019,0.00009782626,0.00005385696],"genre_scores_gemma":[0.9986694,0.0009041599,0.00006920326,0.000008445772,0.00002025756,0.0001029998,0.00005040535,0.00001227092,0.0001628466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2700694,"threshold_uncertainty_score":0.3708894,"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."}}