{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003680596,0.0003771493,0.0004513395,0.0002314716,0.0003213385,0.00008520907,0.0005170929,0.0002809134,0.000004996864],"category_scores_gemma":[0.0001100721,0.0003038889,0.00003729815,0.001154416,0.002207758,0.0003777418,0.000264826,0.0006230104,0.00001539282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005551383,"about_ca_system_score_gemma":0.00002702385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007517957,"about_ca_topic_score_gemma":0.0001515438,"domain_scores_codex":[0.9967591,0.0002687939,0.0005943564,0.001163733,0.000530351,0.0006836418],"domain_scores_gemma":[0.9989968,0.0001382316,0.0003245787,0.0004022293,0.00001109677,0.0001270923],"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":[0.000193461,0.0002442484,0.0710396,0.000006979501,0.000006780553,0.000007269862,0.0009017395,0.0000233692,0.924727,0.00003982669,0.000004471294,0.002805224],"study_design_scores_gemma":[0.0006267435,0.002842613,0.272281,0.00003270475,0.00002241031,0.00001496662,0.0009199956,0.0006385256,0.7217294,0.0006279354,0.00003286101,0.0002308391],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957471,0.001574813,0.00007542197,0.0009174513,0.0001308826,0.001371545,0.00001564653,0.000143522,0.0000235729],"genre_scores_gemma":[0.9990352,0.0002963988,0.0003544168,0.000122687,0.0000840495,0.0000677475,0.00001253959,0.00002651401,4.265095e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2029976,"threshold_uncertainty_score":0.9999413,"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."}}