{"id":"W194904299","doi":"10.2166/wqrj.2006.036","title":"Treatment of Woodwaste Leachate in Surface Flow Mesocosm Wetlands","year":2006,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Leachate; Mesocosm; Wetland; Chemical oxygen demand; Effluent; Environmental science; Environmental chemistry; Biochemical oxygen demand; Tannin; Environmental engineering; Pulp and paper industry; Chemistry; Nutrient; Ecology; Wastewater; Biology","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":[0.0002048152,0.000316503,0.0004399631,0.0001170627,0.0002935527,0.0002804665,0.0001848279,0.0001968465,0.0003105081],"category_scores_gemma":[0.0001504912,0.0001176916,0.0002994527,0.0001373895,0.0001909406,0.0001993794,0.0002695154,0.000296849,0.00008308802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004971069,"about_ca_system_score_gemma":0.0004093448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009376065,"about_ca_topic_score_gemma":0.01556059,"domain_scores_codex":[0.9998332,0.00002866682,0.00001085565,0.00004809583,0.00004883059,0.00003030873],"domain_scores_gemma":[0.9998966,0.00001604983,0.00002234609,0.000008900283,0.0000275429,0.000028592],"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":[0.0002931113,0.00008088916,0.001617837,0.00004078,0.00001019586,0.00002003306,0.00005737361,0.0003473943,0.9958879,0.00001352931,0.00002046408,0.001610473],"study_design_scores_gemma":[0.00005714925,0.002827815,0.03231088,0.000007811879,0.00005183405,0.00003862728,0.0001838592,0.00420433,0.9593153,0.00004371713,0.0009436366,0.00001500769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992504,0.00003986165,0.0004853351,0.000009705318,0.000004628984,0.00001624227,0.0000561784,0.00001110808,0.0001264672],"genre_scores_gemma":[0.9955518,0.0001327541,0.002984985,0.0000224031,0.000004788743,0.00004700698,0.0001739997,0.000006829909,0.001075511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009376065,"threshold_uncertainty_score":0.01864302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05639386570060525,"score_gpt":0.3408350430953516,"score_spread":0.2844411773947464,"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."}}