{"id":"W2513490034","doi":"10.15376/biores.11.3.hubbe","title":"Wastewater Treatment and Reclamation: A Review of Pulp and Paper Industry Practices and Opportunities","year":2016,"lang":"en","type":"review","venue":"BioResources","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":230,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations; Concordia University","funders":"","keywords":"Wastewater; Effluent; Sewage treatment; Pollutant; Chemical oxygen demand; Environmental science; Waste management; Land reclamation; Activated sludge; Filtration (mathematics); Dissolved air flotation; Pulp and paper industry; Bioreactor; Environmental engineering; Engineering; Chemistry; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002689206,0.0002540163,0.0006925968,0.0000590236,0.000066136,0.00003876958,0.0001157439,0.0003054544,0.0008431269],"category_scores_gemma":[0.0001217449,0.000139018,0.00004579034,0.00006384294,0.000515203,0.0002300446,0.0002098079,0.000109991,0.0000169443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003586985,"about_ca_system_score_gemma":0.00001756261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003229302,"about_ca_topic_score_gemma":0.000005607716,"domain_scores_codex":[0.9988791,0.0001457478,0.0003893246,0.000322498,0.0001387184,0.000124601],"domain_scores_gemma":[0.9987276,0.0001637103,0.00077012,0.0002676983,0.000005562758,0.00006536452],"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":[0.000001603092,0.00001029474,0.00006818667,0.013476,0.00003371469,0.000002732663,0.0000808321,4.340594e-9,0.00001473562,0.00003478894,0.0005924814,0.9856846],"study_design_scores_gemma":[0.00006814942,0.00008950476,0.00002788495,0.02007411,0.0002057826,0.0000614282,0.0001054259,1.966357e-7,0.00005952407,0.0000225462,0.9791267,0.000158753],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002652478,0.9935917,1.0391e-7,0.0009519318,0.00001513343,0.0004835139,0.00003077537,0.00003167134,0.002242642],"genre_scores_gemma":[0.00005608341,0.9977622,0.0001013325,0.00007517367,0.00002173353,0.00008346315,0.00001025632,0.00001325647,0.001876511],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9855258,"threshold_uncertainty_score":0.9231648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1199518352220217,"score_gpt":0.3344052069839207,"score_spread":0.214453371761899,"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."}}