{"id":"W2302481205","doi":"10.1080/09593330.2015.1122095","title":"Treatment of potato farm wastewater with sand filtration","year":2016,"lang":"en","type":"article","venue":"Environmental Technology","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Filtration (mathematics); Sand filter; Saturation (graph theory); Wastewater; Total suspended solids; Environmental engineering; Chemical oxygen demand; Filter (signal processing); Volumetric flow rate; Anaerobic exercise; Suspended solids; Pulp and paper industry; Nitrogen; Chemistry; Environmental science; Mathematics; Biology; 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":[0.0001937088,0.0003436681,0.0004732474,0.0002441858,0.0003482585,0.0006923105,0.0002266862,0.0003428741,0.0004725075],"category_scores_gemma":[0.0003353396,0.0001235168,0.0003550908,0.0002740157,0.0001627145,0.0002578429,0.0003066752,0.0002145804,0.000155684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004709986,"about_ca_system_score_gemma":0.0005144523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004426726,"about_ca_topic_score_gemma":0.006394737,"domain_scores_codex":[0.9997112,0.00006561087,0.00002505652,0.00005786728,0.00009436457,0.0000458875],"domain_scores_gemma":[0.9998547,0.00003555977,0.00003863895,0.000006609766,0.00004371825,0.00002075964],"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":[0.0002424944,0.0001051756,0.006548258,0.0002932739,0.00003906136,0.0001186229,0.00008302099,0.00192818,0.9709509,0.00005040469,0.0001285008,0.01951209],"study_design_scores_gemma":[0.00004073424,0.001530417,0.02435657,0.0000376977,0.0001012225,0.0002974971,0.0003252801,0.007704565,0.9605731,0.0001159908,0.004891357,0.00002553305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993207,0.0005689711,0.004885515,0.00005466377,0.00001718426,0.00005329817,0.00006373021,0.00005458303,0.001095036],"genre_scores_gemma":[0.9908607,0.0008047303,0.006878969,0.0000558916,0.000008066829,0.00002646353,0.0001438918,0.00001367748,0.001207651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004426726,"threshold_uncertainty_score":0.008801877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005923556795522504,"score_gpt":0.1781548720751375,"score_spread":0.172231315279615,"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."}}