{"id":"W904558315","doi":"10.1016/j.jenvman.2015.07.008","title":"Slaughterhouse wastewater characteristics, treatment, and management in the meat processing industry: A review on trends and advances","year":2015,"lang":"en","type":"review","venue":"Journal of Environmental Management","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":463,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Ryerson University","keywords":"Effluent; Reuse; Wastewater; Environmental science; Sewage treatment; Waste management; Business; Biochemical engineering; Environmental engineering; 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":[0.001420151,0.0009789426,0.002200328,0.003551302,0.0002590523,0.001394343,0.001011938,0.001205681,0.001702129],"category_scores_gemma":[0.00168281,0.0004235562,0.001315105,0.004151861,0.0004493439,0.00138757,0.000749133,0.001067715,0.0004857937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006960339,"about_ca_system_score_gemma":0.002145105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002344443,"about_ca_topic_score_gemma":0.005634648,"domain_scores_codex":[0.9994019,0.00007615362,0.0001309271,0.0001252919,0.0002229058,0.00004275487],"domain_scores_gemma":[0.99864,0.0006675308,0.0002870267,0.00002270266,0.0003335851,0.00004916952],"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":[0.000133644,0.0001518559,0.001076467,0.06305737,0.000322626,0.0001400202,0.00009339754,0.0004953,0.003177846,0.001079806,0.009105011,0.9211668],"study_design_scores_gemma":[0.00004584004,0.0006774729,0.008795662,0.01953598,0.002041235,0.001994393,0.000427387,0.000432866,0.003963531,0.001861902,0.9600962,0.0001275809],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002388938,0.9992924,0.00008778262,0.0001260458,0.00005744135,0.000003316615,0.0000221351,0.000002684785,0.0001691885],"genre_scores_gemma":[0.0008267869,0.9987432,0.0001655522,0.00007959553,0.00005755907,0.000002347529,0.0000256208,6.302316e-7,0.00009869981],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003551302,"threshold_uncertainty_score":0.007510602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03110539272003543,"score_gpt":0.2906580497819788,"score_spread":0.2595526570619434,"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."}}