{"id":"W2968498351","doi":"10.1007/s12665-019-8538-z","title":"Selenate removal by zero-valent iron under anoxic conditions: effects of nitrate and sulfate","year":2019,"lang":"en","type":"article","venue":"Environmental Earth Sciences","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"National Research Council Canada; Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canadian Light Source","keywords":"Lepidocrocite; Anoxic waters; Zerovalent iron; Chemistry; Sulfate; Nitrate; Aqueous solution; Nuclear chemistry; Denitrification; Nitrite; Permeable reactive barrier; Selenate; Nitrogen; Inorganic chemistry; Goethite; Environmental chemistry; Selenium; Environmental remediation; Adsorption; Contamination","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":[0.0002233635,0.0002366851,0.0002815196,0.0001374414,0.0002260379,0.0003600597,0.000327008,0.0004302748,0.0005242804],"category_scores_gemma":[0.0003413209,0.0001017436,0.0002259845,0.0001265111,0.0002054977,0.0002630291,0.0001696204,0.0002213729,0.0001426744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004567243,"about_ca_system_score_gemma":0.0005495111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01383671,"about_ca_topic_score_gemma":0.01352818,"domain_scores_codex":[0.9998233,0.00002371968,0.00001758308,0.00003062732,0.0000557786,0.00004896609],"domain_scores_gemma":[0.9998393,0.0000415519,0.00001720782,0.00001297735,0.00006801542,0.00002094524],"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":[0.001165867,0.0001164109,0.001196946,0.00004516388,0.00001318157,0.000121051,0.00006769299,0.0004700712,0.9939017,0.00007164042,0.00008352697,0.00274668],"study_design_scores_gemma":[0.00002290525,0.0005093452,0.003774474,0.000003997549,0.0000154728,0.00006577329,0.0001049117,0.003190833,0.9914714,0.00005622638,0.000773168,0.00001152425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991229,0.0001013131,0.0002116824,0.00002233085,0.00001021969,0.000003598923,0.00005404965,0.000007906979,0.0004659409],"genre_scores_gemma":[0.9982452,0.0001150447,0.0004160475,0.000009026889,0.000003427012,0.000002692942,0.0001290872,0.000004086509,0.001075332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01383671,"threshold_uncertainty_score":0.02751237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003275719918643247,"score_gpt":0.1797727664877179,"score_spread":0.1764970465690746,"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."}}