{"id":"W3015338952","doi":"10.1139/cgj-2019-0851","title":"Numerical modeling of clogging of landfill leachate collection systems with co-disposal of municipal solid waste (MSW) and incinerator ash","year":2020,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Leachate; Clogging; Municipal solid waste; Hydraulic conductivity; Waste management; Incineration; Service life; Environmental science; Environmental engineering; Waste disposal; Geotechnical engineering; Engineering; Soil water; Soil science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003501587,0.0005017804,0.0007281493,0.0004439386,0.0009883529,0.0009908368,0.0008540175,0.001558864,0.001523036],"category_scores_gemma":[0.0008830981,0.0003715889,0.000799031,0.0004710888,0.0008515798,0.0004229959,0.0005194717,0.0005598478,0.0001490296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002261346,"about_ca_system_score_gemma":0.001546638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07399119,"about_ca_topic_score_gemma":0.03205742,"domain_scores_codex":[0.9998533,0.00003193261,0.000009150564,0.00002008239,0.0000333165,0.00005218777],"domain_scores_gemma":[0.9994237,0.0003184791,0.00008025027,0.00002206163,0.0001013742,0.00005410575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005710231,0.00003689018,0.001814144,0.0000234012,0.000008751003,0.00008528049,0.00003939024,0.993975,0.002405186,0.000493213,0.00007268206,0.0009890016],"study_design_scores_gemma":[0.000007684419,0.00002928954,0.0004043894,0.000002630852,0.000004643493,0.000008670001,0.00003308167,0.9984534,0.0008348127,0.0001034937,0.0001136939,0.000004280814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701381,0.0002023554,0.01755203,0.0002367927,0.00003227066,0.0001027168,0.0003468166,0.0001865752,0.01120224],"genre_scores_gemma":[0.9932216,0.00009808602,0.003549323,0.00002387173,0.000004186139,0.00006296247,0.000111627,0.00001883911,0.002909475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07399119,"threshold_uncertainty_score":0.147121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01568307187674284,"score_gpt":0.2228955476380306,"score_spread":0.2072124757612878,"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."}}