{"id":"W2791870353","doi":"10.1016/j.wasman.2018.02.016","title":"Hybrid process, electrocoagulation-biofiltration for landfill leachate treatment","year":2018,"lang":"en","type":"article","venue":"Waste Management","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre de Recherche Industrielle du Québec; Institut National de la Recherche Scientifique","funders":"Mitacs; Institut National de Recherche et de Sécurité; Institut national de la recherche scientifique","keywords":"Leachate; Biofilter; Effluent; Pollutant; Chemistry; Electrocoagulation; Turbidity; Environmental chemistry; Waste management; Pulp and paper industry; Organic matter; Fractionation; Environmental science; Environmental engineering; Chromatography; Organic chemistry","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":[0.0001398006,0.0002485799,0.0002399439,0.0003073783,0.0002558105,0.0004683162,0.0002144323,0.0003486101,0.0009453663],"category_scores_gemma":[0.00008500155,0.0001187898,0.0002644987,0.0002156252,0.0001529279,0.0004880872,0.0004082733,0.0002813331,0.0002690689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002436179,"about_ca_system_score_gemma":0.0001462834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006073939,"about_ca_topic_score_gemma":0.001898562,"domain_scores_codex":[0.9998863,0.00001003435,0.00000722604,0.00002637963,0.00004890258,0.00002118135],"domain_scores_gemma":[0.9999744,0.000003819306,0.000005610093,0.000003021705,0.000008156459,0.000005096856],"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":[0.00008748243,0.00003852482,0.000182708,0.00007744173,0.00001308201,0.00003855463,0.00002152429,0.000315321,0.9935604,0.0001650668,0.00008233951,0.005417428],"study_design_scores_gemma":[0.000009420281,0.00013956,0.0008667478,0.000003094778,0.00001586941,0.00007434257,0.00001726809,0.001670226,0.9952512,0.00004059706,0.001907089,0.000004688631],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789814,0.002013172,0.01600064,0.0001000348,0.00008137523,0.00003320863,0.0001302589,0.0002256299,0.002434336],"genre_scores_gemma":[0.9914494,0.0004657866,0.004673687,0.00003953043,0.00001135774,0.00001798068,0.00008320717,0.0000133536,0.003245647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009453663,"threshold_uncertainty_score":0.003162563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092597483120307,"score_gpt":0.2551089446442612,"score_spread":0.2441829698130581,"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."}}