{"id":"W4412816378","doi":"10.1088/1402-4896/adf602","title":"Enhancing U(VI) removal from water using nano-Kaolin and nano-Kaolin/MnFe<sub>2</sub>O<sub>4</sub> composite adsorbents","year":2025,"lang":"en","type":"article","venue":"Physica Scripta","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Nano-; Adsorption; Materials science; Composite number; Chemical engineering; Nanotechnology; Composite material; Chemistry; Physical chemistry; Engineering","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":[0.0002152571,0.0007248799,0.0007725226,0.0001048232,0.0007262721,0.0003535966,0.0005116009,0.0002986296,0.00006027866],"category_scores_gemma":[0.0000520305,0.0007080351,0.0002513225,0.0003077848,0.0002232707,0.0006452721,0.0004200474,0.0006585895,0.00004854856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002833735,"about_ca_system_score_gemma":0.0001447436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007671207,"about_ca_topic_score_gemma":0.00001232734,"domain_scores_codex":[0.9963908,0.00008172942,0.0007523013,0.001241677,0.0005326074,0.001000843],"domain_scores_gemma":[0.998402,0.00009972954,0.0002976919,0.0007644791,0.0001828734,0.0002532405],"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":[0.0001959157,0.0002359203,0.0005695976,0.0005402799,0.0003465268,0.00003656922,0.000675623,0.00002539223,0.9888484,0.00002220731,0.0006499224,0.007853643],"study_design_scores_gemma":[0.001362467,0.00001453102,0.0001243427,0.001028102,0.0003090616,0.00002111586,0.0002402218,0.001956346,0.990433,0.001283295,0.002457746,0.0007697307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939165,0.0008978397,0.0005733235,0.0002074385,0.000637021,0.00016062,0.0001280364,0.0002112442,0.003268033],"genre_scores_gemma":[0.9971622,0.0001113493,0.0006454103,0.0003798828,0.0009575292,0.00002720923,0.0003252276,0.0000975938,0.0002936225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007083912,"threshold_uncertainty_score":0.9995371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01223804082615288,"score_gpt":0.2413480873753851,"score_spread":0.2291100465492322,"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."}}