{"id":"W4200020892","doi":"10.1139/cjce-2021-0144","title":"Assessment of sediment arsenic and iron occurrence and leaching potential in a potable water treatment plant wastewater stabilization pond system","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Mitacs","keywords":"Leaching (pedology); Effluent; Arsenic; Sediment; Environmental chemistry; Environmental science; Wastewater; Sedimentation; Environmental engineering; Stabilization pond; Sewage treatment; Chemistry; Geology; Soil science; Soil water","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0002667906,0.0002185302,0.0002485873,0.0004864888,0.0004529723,0.0005942016,0.0002374704,0.0003663167,0.0004286019],"category_scores_gemma":[0.0002480501,0.0001485206,0.0002213953,0.0006582481,0.0002385538,0.0002758676,0.0002767805,0.0002005753,0.0001083023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203792,"about_ca_system_score_gemma":0.0008817779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04056542,"about_ca_topic_score_gemma":0.07861307,"domain_scores_codex":[0.9998075,0.00001929291,0.00002004346,0.00004014332,0.00008703583,0.00002600441],"domain_scores_gemma":[0.9997846,0.00002210855,0.00005886438,0.000009124047,0.0001034423,0.00002186244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006831853,0.0002362917,0.247744,0.000163031,0.00006572745,0.0007979449,0.0003972192,0.004845709,0.730727,0.0001169132,0.0001099079,0.01411299],"study_design_scores_gemma":[0.00004607972,0.002565425,0.7491758,0.00002331171,0.0001172126,0.000316858,0.001374502,0.01254478,0.2323364,0.0001595286,0.001305102,0.00003501584],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993429,0.00001245563,0.000223395,0.00000418638,4.858026e-7,0.00001583662,0.0001041976,0.000006580613,0.0002899537],"genre_scores_gemma":[0.9985904,0.00005373844,0.0006488776,0.00000843072,4.948743e-7,0.00001396242,0.0001529284,0.000001624405,0.000529452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04056542,"threshold_uncertainty_score":0.08065861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004478596118746731,"score_gpt":0.1778012195893156,"score_spread":0.1733226234705689,"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."}}