{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002214718,0.000151016,0.0001357964,0.0000789119,0.0000637874,0.00000334934,0.0001486086,0.0000746479,0.002217524],"category_scores_gemma":[0.000001544301,0.00008820356,0.00003256568,0.0001076697,0.0006419281,0.0001096177,0.0001088002,0.00002541431,0.0006685476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003758564,"about_ca_system_score_gemma":0.000001753358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003755357,"about_ca_topic_score_gemma":0.00003768272,"domain_scores_codex":[0.9991176,0.0000147802,0.0001630973,0.0003010827,0.0001594502,0.0002439902],"domain_scores_gemma":[0.999507,0.00001085279,0.00007528093,0.000368515,5.541789e-7,0.00003776958],"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":[0.00003728057,0.0003585494,0.3433498,0.000001474618,0.00004035881,0.00001453571,0.0001302752,0.00002349259,0.6281067,0.0002683254,0.0001597324,0.02750957],"study_design_scores_gemma":[0.00232042,0.002190887,0.08868703,0.00001244006,0.00006670568,0.0000611248,0.0002339637,0.00001871425,0.8398624,0.001027626,0.06516184,0.0003568165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945608,0.00002887818,0.0009892033,0.0008929515,0.00002940482,0.0002751266,0.00002371,0.00007902538,0.00312092],"genre_scores_gemma":[0.9946879,0.00005605747,0.001530793,0.00001380428,0.000007965399,0.00006904597,0.000008546371,0.00001598143,0.003609865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2546627,"threshold_uncertainty_score":0.9986946,"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."}}