{"id":"W3205438821","doi":"10.1139/cjce-2021-0306","title":"Assessment of a wastewater stabilization pond system for removal of arsenic, iron, and ammonia from reverse osmosis water treatment plant residual wastewater","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Wastewater; Environmental science; Arsenic; Reverse osmosis; Effluent; Environmental engineering; Sewage treatment; Environmental chemistry; Water treatment; Aeration; Waste management; Pulp and paper industry; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004339929,0.0003260815,0.0003947399,0.0002161717,0.0006738979,0.0007042794,0.0003687258,0.0004862728,0.0006165816],"category_scores_gemma":[0.0003293866,0.0001778899,0.0003815246,0.0002989253,0.0003171588,0.000413816,0.0003543546,0.0003503531,0.0001890415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001966609,"about_ca_system_score_gemma":0.001786282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03940589,"about_ca_topic_score_gemma":0.05379889,"domain_scores_codex":[0.999759,0.00003693591,0.00001945146,0.000042518,0.0001033622,0.00003879424],"domain_scores_gemma":[0.999738,0.00003379385,0.00003221675,0.00001461131,0.0001396985,0.00004165255],"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":[0.0004764916,0.0002890895,0.01494007,0.0001819056,0.00002670841,0.0001873182,0.0001216993,0.004311218,0.9684488,0.00005844791,0.0001400422,0.01081833],"study_design_scores_gemma":[0.0001396534,0.007265593,0.1195636,0.00002640386,0.0001422479,0.0002422642,0.0009934905,0.02844607,0.8405277,0.0001374641,0.0024647,0.00005085616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982212,0.00003650385,0.001203638,0.00001929032,0.000003356213,0.00007256743,0.000102288,0.00002995048,0.0003112507],"genre_scores_gemma":[0.995015,0.0001452349,0.003556268,0.00002685872,0.000001620253,0.00006791982,0.0001964975,0.000006501188,0.0009841787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03940589,"threshold_uncertainty_score":0.07835305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009881736065159838,"score_gpt":0.1853131677357623,"score_spread":0.1754314316706025,"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."}}