{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001398275,0.0002911635,0.0003133491,0.00008698025,0.0001741435,0.00007890026,0.0002095344,0.0002472118,0.00003798169],"category_scores_gemma":[0.0001768485,0.0003297956,0.0000944839,0.0004568624,0.00006852193,0.00002539692,0.00002151994,0.0002502149,0.000002153093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006161146,"about_ca_system_score_gemma":0.0001312117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002699759,"about_ca_topic_score_gemma":0.000003958935,"domain_scores_codex":[0.9987233,0.00002276761,0.0003660108,0.0003802255,0.0001726957,0.0003349789],"domain_scores_gemma":[0.9992519,0.0001101613,0.00008442674,0.0002856633,0.0001844708,0.00008335127],"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":[0.0001146324,0.00003304635,0.00006769176,0.0002367584,0.0001265209,7.742013e-7,0.0001860407,0.01505942,0.8972911,0.000007772495,0.08648234,0.0003939568],"study_design_scores_gemma":[0.000709474,0.00002455691,0.00001489173,0.00005223191,0.00005250505,0.000002723414,0.0001451213,0.03838373,0.9568285,0.0003555641,0.003133442,0.0002972316],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7078071,0.001040807,0.2733121,0.0001055222,0.0008489644,0.001109864,0.0001863424,0.001075949,0.01451339],"genre_scores_gemma":[0.9954107,0.00004258719,0.001371955,0.0001124243,0.00009499796,0.0001892196,0.0002588656,0.00006295427,0.002456337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2876036,"threshold_uncertainty_score":0.9999154,"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."}}