{"id":"W2883464494","doi":"10.1021/acs.est.8b00079","title":"Real-Time XANES Measurement of Se Reduction by Zerovalent Iron in a Flow-through Cell, and Accompanying Se Isotope Measurements","year":2018,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Zerovalent iron; Chemistry; Anoxic waters; Selenate; Isotope; Stable isotope ratio; Isotope fractionation; Fractionation; Environmental chemistry; Adsorption; Aqueous solution; Effluent; Permeable reactive barrier; Redox; Analytical Chemistry (journal); Radiochemistry; Selenium; Inorganic chemistry; Contamination; Chromatography; Environmental remediation; Environmental engineering","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":[0.0005673168,0.000612397,0.0006548673,0.0003026962,0.0004428891,0.0005988337,0.0005266274,0.0007077749,0.001296867],"category_scores_gemma":[0.0004303558,0.0003000952,0.0003464842,0.0004633602,0.0004142934,0.0005520559,0.0002494722,0.0008602877,0.0003441781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007638657,"about_ca_system_score_gemma":0.0005360594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00291557,"about_ca_topic_score_gemma":0.003887502,"domain_scores_codex":[0.9997022,0.00002380935,0.00001092239,0.00009910882,0.000125449,0.00003841956],"domain_scores_gemma":[0.9997601,0.00006941427,0.00004049501,0.00001746039,0.00009199967,0.00002045364],"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":[0.00008450067,0.00003561218,0.0002842676,0.00002200929,0.000003128752,0.00002078738,0.00003458567,0.00008701938,0.9987922,0.00004341773,0.00003487479,0.0005575244],"study_design_scores_gemma":[0.00001833081,0.0001915725,0.002006515,0.000003506261,0.000006688178,0.00003036546,0.00007142164,0.003207995,0.9935395,0.00006317729,0.0008509331,0.000009974112],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836944,0.0002598624,0.01381731,0.00007286655,0.00004168116,0.00008231859,0.0008448412,0.0002967738,0.0008900189],"genre_scores_gemma":[0.9448022,0.001175534,0.04697206,0.0001607441,0.00003161439,0.0002444524,0.001060919,0.0001109891,0.005441401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00291557,"threshold_uncertainty_score":0.005797207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01769572961373751,"score_gpt":0.2379132897664339,"score_spread":0.2202175601526964,"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."}}