{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001687066,0.0001642772,0.0001785184,0.00006339003,0.00007109226,0.00002881983,0.0001222438,0.00005615167,0.0003467904],"category_scores_gemma":[0.000004392624,0.0001524085,0.0000301755,0.00008125405,0.0003966364,0.0003519019,0.00005056398,0.00005776663,0.0002832543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002873607,"about_ca_system_score_gemma":0.000004500991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004117319,"about_ca_topic_score_gemma":7.91475e-7,"domain_scores_codex":[0.9988974,0.00004092701,0.000232147,0.0002578507,0.0003271805,0.0002444906],"domain_scores_gemma":[0.9996364,0.00007754088,0.00007054614,0.000131321,8.513466e-7,0.00008332286],"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":[0.000003064652,0.00002786439,0.01194355,0.0000637706,0.000009784136,0.000001869606,0.00008193816,0.003475195,0.9840999,0.00003022906,0.00007734497,0.0001855325],"study_design_scores_gemma":[0.0005965185,0.0001853641,0.1161674,0.00004224427,0.00001399014,0.00001435926,0.00008723867,0.0009732632,0.881128,0.0002478216,0.0003172898,0.0002265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975511,0.001009004,0.00005677628,0.00002040649,0.0002899122,0.0003326567,0.00005492521,0.000046406,0.0006388333],"genre_scores_gemma":[0.9982827,0.0008587789,0.0002754669,0.00005003304,0.00001149929,0.00001074139,0.00002410126,0.00001710897,0.000469581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1042238,"threshold_uncertainty_score":0.6215037,"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."}}