{"id":"W4391254071","doi":"10.1021/acsearthspacechem.3c00271","title":"Reducing Conditions Influence U(IV) Accumulation in Sediments during <i>In Situ</i> Bioremediation","year":2024,"lang":"en","type":"article","venue":"ACS Earth and Space Chemistry","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"SLAC National Accelerator Laboratory; H2020 Marie Skłodowska-Curie Actions; Biological and Environmental Research; Basic Energy Sciences; National Center for Research Resources; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; U.S. Department of Energy","keywords":"Uranium; Environmental chemistry; Sulfate; Genetic algorithm; Chemistry; Sediment; Bioremediation; Extracellular polymeric substance; Redox; Contamination; Uranyl; In situ; Aquifer; Aqueous solution; Groundwater; Inorganic chemistry; Geology; Materials science; Ecology; Metallurgy","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":[0.0002106692,0.000358493,0.0003047504,0.0001805592,0.0003635273,0.0005950636,0.0002546915,0.0003189304,0.0005318717],"category_scores_gemma":[0.0003294575,0.0001712194,0.0001783293,0.0001531825,0.0003077789,0.0003012852,0.0002305012,0.0002693363,0.00009892635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005415066,"about_ca_system_score_gemma":0.0003742904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008258165,"about_ca_topic_score_gemma":0.01117729,"domain_scores_codex":[0.9998342,0.00003420743,0.0000100204,0.00004664796,0.00003119717,0.00004364449],"domain_scores_gemma":[0.9998424,0.00005165649,0.00004710015,0.000007994669,0.00003684048,0.00001396615],"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":[0.0001990881,0.00003354099,0.004821964,0.00005630982,0.00001005572,0.00004808948,0.0000954209,0.0002638246,0.9918591,0.00002263455,0.00002395759,0.002565938],"study_design_scores_gemma":[0.000009098063,0.0006337613,0.04279307,0.000008488637,0.00002520084,0.00005329273,0.0004433384,0.0009944327,0.954179,0.00004743019,0.0008004807,0.00001223505],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986408,0.000118834,0.0005960799,0.00002319672,0.000004456707,0.00001351672,0.00007411499,0.00001764667,0.0005113523],"genre_scores_gemma":[0.9987979,0.0001317317,0.0005854064,0.00002218005,0.000002880665,0.00001083912,0.00007342813,0.000006780032,0.0003689006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008258165,"threshold_uncertainty_score":0.01642019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011453136205498,"score_gpt":0.2683817840078455,"score_spread":0.2569286478023475,"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."}}