{"id":"W4255009879","doi":"10.1002/wer.1179","title":"Pulp and paper mill effluent management","year":2019,"lang":"en","type":"review","venue":"Water Environment Research","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Effluent; Paper mill; Pulp (tooth); Environmental science; Cleaner production; Waste management; Sewage treatment; Pulp mill; Pollution; Pulp and paper industry; Engineering; Environmental engineering; Municipal solid waste; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003577977,0.0007301874,0.001113833,0.002647129,0.0002934363,0.001099422,0.0005336786,0.0006933684,0.006338102],"category_scores_gemma":[0.0004711968,0.0001896704,0.0006016223,0.001882211,0.0001509734,0.0006915007,0.0004654708,0.0005864305,0.002162339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004055452,"about_ca_system_score_gemma":0.001095049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001271601,"about_ca_topic_score_gemma":0.001870599,"domain_scores_codex":[0.9996675,0.00003767989,0.00005370117,0.00005644626,0.0001561672,0.00002844295],"domain_scores_gemma":[0.9997805,0.0000521394,0.0000495216,0.000006849683,0.00009783114,0.00001309517],"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":[0.00006569653,0.0001112462,0.0002458102,0.04337428,0.000147598,0.0002215952,0.00004767738,0.0004035629,0.005326993,0.002337998,0.01984009,0.9278775],"study_design_scores_gemma":[0.00001324896,0.000145493,0.001482895,0.00921437,0.0002429822,0.000950901,0.00009608303,0.0001583493,0.003515377,0.001005035,0.9831545,0.00002058277],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005161183,0.9955348,0.0002441339,0.0001772631,0.0002693047,0.00001316122,0.0000666079,0.00001009454,0.003168511],"genre_scores_gemma":[0.00530026,0.990764,0.000400305,0.0001805345,0.0002021759,0.0000151603,0.0001434713,0.000003384393,0.002990704],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006338102,"threshold_uncertainty_score":0.02120304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07796236736538385,"score_gpt":0.3283469822155048,"score_spread":0.250384614850121,"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."}}