{"id":"W4413937060","doi":"10.1039/d5qi01520k","title":"Ion-selective capacitive deionization enabled by codoped core–shell carbon architectures for efficient uranium recovery","year":2025,"lang":"en","type":"article","venue":"Inorganic Chemistry Frontiers","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"Changjiang Scholar Program of Chinese Ministry of Education; National Natural Science Foundation of China","keywords":"Capacitive deionization; Ion; Materials science; Uranium; Carbon fibers; Core (optical fiber); Shell (structure); Nanotechnology; Chemical engineering; Electrode; Chemistry; Electrochemistry; Metallurgy; Engineering; Composite material","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":[0.00009067148,0.0003846888,0.0001396535,0.0001992207,0.0001636639,0.0003055909,0.0003641034,0.0005365683,0.0009946361],"category_scores_gemma":[0.0002084096,0.0001467307,0.0001270535,0.000171319,0.0001656114,0.0003915734,0.0003226044,0.000398973,0.0002594079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000390845,"about_ca_system_score_gemma":0.0002218208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001242966,"about_ca_topic_score_gemma":0.004098543,"domain_scores_codex":[0.9999219,0.000004430502,0.000003542749,0.00002186342,0.00002810581,0.00002011806],"domain_scores_gemma":[0.9999385,0.00001324768,0.000008968496,0.000006391831,0.00002117054,0.00001174786],"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":[0.00002932581,0.00001275924,0.00006600026,0.00005791656,0.000004204458,0.00007345265,0.00001421617,0.0002706839,0.9940742,0.0005111094,0.0001985962,0.004687704],"study_design_scores_gemma":[0.000004583021,0.00004367566,0.0004898743,0.000005242196,0.000005385399,0.00009690553,0.00001436442,0.004799103,0.9912407,0.00009167143,0.003199791,0.000008720341],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712913,0.002206514,0.01642048,0.0002829166,0.0001227498,0.00004779729,0.000258339,0.0003706928,0.008999338],"genre_scores_gemma":[0.9906901,0.0006959704,0.005416903,0.00006853473,0.00000982127,0.00001673301,0.000166329,0.00002345003,0.002912108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001242966,"threshold_uncertainty_score":0.00332737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004450485465583794,"score_gpt":0.2038722568818868,"score_spread":0.199421771416303,"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."}}