{"id":"W3104380968","doi":"10.3808/jeil.202000036","title":"Biological Treatment of Dairy Wastewater: A Mini Review","year":2020,"lang":"en","type":"review","venue":"Journal of Environmental Informatics Letters","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Petroleum Technology Research Centre; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Biochemical oxygen demand; Wastewater; Chemical oxygen demand; Effluent; Environmental science; Anaerobic exercise; Sewage treatment; Dairy industry; Waste management; Biochemical engineering; Environmental engineering; Chemistry; Engineering; Biology; Food science","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":[0.0006615073,0.001158735,0.001686149,0.003520762,0.0003819799,0.001186871,0.000967073,0.001094737,0.004675121],"category_scores_gemma":[0.0008683061,0.0004350004,0.0009774202,0.003351365,0.0003323925,0.001606902,0.0007293239,0.001460676,0.002391835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005206639,"about_ca_system_score_gemma":0.001314272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001260345,"about_ca_topic_score_gemma":0.00174712,"domain_scores_codex":[0.999705,0.00003797391,0.00004855496,0.00005557964,0.0001207943,0.00003202234],"domain_scores_gemma":[0.9994979,0.0001970905,0.00007877354,0.00001416689,0.000170328,0.00004167015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008612506,0.0001690038,0.0002192441,0.06527201,0.0001857167,0.0002831283,0.0001172051,0.0006680292,0.005984022,0.003270003,0.03567925,0.8880662],"study_design_scores_gemma":[0.000009282094,0.0001360027,0.0006031519,0.004397906,0.0002145589,0.0006979323,0.00006037282,0.000117024,0.001315874,0.0007539607,0.9916674,0.00002646246],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001958985,0.9982718,0.0001835612,0.000157599,0.0002688559,0.00000911118,0.00003185137,0.000008962587,0.0008721977],"genre_scores_gemma":[0.0006069917,0.9982142,0.0002635445,0.0001247622,0.0001556469,0.000009520143,0.00005433529,0.000002175477,0.0005687742],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004675121,"threshold_uncertainty_score":0.01563984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03679133643669798,"score_gpt":0.2609140808774337,"score_spread":0.2241227444407357,"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."}}