{"id":"W2068303960","doi":"10.2495/geo060131","title":"A sequential aerated peat biofilter system for the treatment of landfill leachate","year":2006,"lang":"en","type":"article","venue":"WIT transactions on ecology and the environment","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Biofilter; Leachate; Peat; Aeration; Clogging; Environmental science; Environmental engineering; Hydraulic retention time; Filtration (mathematics); Wastewater; Waste management; Pulp and paper industry; Environmental chemistry; Chemistry; Ecology; Engineering","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":[0.0001701836,0.0001954243,0.0002366512,0.0000198123,0.000563839,0.00001044074,0.0001062434,0.00007063167,0.000499537],"category_scores_gemma":[0.000001047417,0.0000961218,0.0001284429,0.00004123227,0.000982351,0.00004764256,0.00001041661,0.00006396378,0.00009114312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002823242,"about_ca_system_score_gemma":0.000002210682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005378228,"about_ca_topic_score_gemma":0.0001884273,"domain_scores_codex":[0.9990429,0.00009926478,0.0002323049,0.0002503613,0.0001296569,0.0002455321],"domain_scores_gemma":[0.9993428,0.0002768438,0.00008863572,0.0002568515,0.000001129671,0.0000337682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.01223287,0.01380205,0.1419308,0.0001926551,0.005972739,0.00006300807,0.01306939,0.6671327,0.05597293,0.003520334,0.001291404,0.08481906],"study_design_scores_gemma":[0.05596362,0.01039972,0.579764,0.00006009574,0.004744254,0.0002772553,0.00331649,0.02935497,0.2365355,0.00190315,0.07575888,0.001922024],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617631,0.0005786789,0.02755923,0.003435391,0.0004647709,0.00296679,0.0002653814,0.00005873887,0.002907938],"genre_scores_gemma":[0.997128,0.0005130657,0.0001210587,0.00007560757,0.00002735527,0.0004544466,0.00001015421,0.00001496943,0.001655392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6377778,"threshold_uncertainty_score":0.546958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009084414237921884,"score_gpt":0.1966820589428681,"score_spread":0.1875976447049462,"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."}}