{"id":"W3007392706","doi":"10.1021/acs.est.9b05714","title":"Sequestration of Selenite and Selenate in Gypsum (CaSO<sub>4</sub>·2H<sub>2</sub>O): Insights from the Single-Crystal Electron Paramagnetic Resonance Spectroscopy and Synchrotron X-ray Absorption Spectroscopy Study","year":2020,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Chinese Academy of Sciences","keywords":"Selenate; Selenium; Gypsum; Chemistry; Electron paramagnetic resonance; Analytical Chemistry (journal); Sulfate; Inorganic chemistry; Nuclear chemistry; Materials science; Environmental chemistry; Nuclear magnetic resonance; Metallurgy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008315199,0.0002160394,0.0002661828,0.0001580722,0.0001282535,0.0003061704,0.0002251485,0.0003438909,0.0003772973],"category_scores_gemma":[0.0001227985,0.000139137,0.0001545423,0.000135401,0.0002578264,0.00032542,0.0002898503,0.0002938123,0.0001537237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00029771,"about_ca_system_score_gemma":0.0002190981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001593829,"about_ca_topic_score_gemma":0.001570536,"domain_scores_codex":[0.9999461,0.00000484785,0.000002946231,0.00001520115,0.000016384,0.00001453597],"domain_scores_gemma":[0.9999616,0.000006481638,0.00001194548,0.000003845395,0.000009252943,0.00000683967],"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":[0.00006942826,0.000005013057,0.0004741103,0.00006327306,0.000007327434,0.0001144034,0.0000276516,0.0001709181,0.9974987,0.0001463042,0.00004885811,0.001373834],"study_design_scores_gemma":[0.00001409535,0.0001259009,0.008269211,0.00001156965,0.00002554052,0.0003081123,0.0001921249,0.002849281,0.9837312,0.0002537181,0.004205241,0.00001405615],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996541,0.001645235,0.0009763726,0.00009591456,0.00000973943,0.000006808684,0.0001196387,0.0000362889,0.0005689802],"genre_scores_gemma":[0.9966211,0.001032489,0.001157453,0.00003912211,0.000005921382,0.000007505107,0.0001703711,0.00001615818,0.0009498738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001593829,"threshold_uncertainty_score":0.003169119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009152421786191068,"score_gpt":0.215702480647251,"score_spread":0.20655005886106,"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."}}