{"id":"W2173295313","doi":"10.1139/cgj-2012-0057","title":"Effect of grain size on service life of MSW landfill drainage systems","year":2012,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Leachate; Drainage; Clogging; Service life; Geotechnical engineering; Environmental science; Infiltration (HVAC); Drainage system (geomorphology); Environmental engineering; Waste management; Geology; Engineering; Materials science; Composite material; Ecology; Geography","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":[0.0004044736,0.0002549571,0.0003037743,0.0004490463,0.0003165169,0.0005072409,0.0002524201,0.0003126459,0.0006557578],"category_scores_gemma":[0.001896167,0.0001709753,0.0003938621,0.0004628135,0.0003912665,0.0004177206,0.0003471843,0.0001746026,0.00008773553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009780113,"about_ca_system_score_gemma":0.0003968726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009137615,"about_ca_topic_score_gemma":0.00916867,"domain_scores_codex":[0.9998375,0.00002455463,0.00001515899,0.0000239361,0.00004844155,0.00005044605],"domain_scores_gemma":[0.9986657,0.0007874287,0.000233834,0.00008724865,0.0001331778,0.00009257733],"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":[0.001172198,0.0001597348,0.1391634,0.0001522605,0.00007351495,0.0004976347,0.0002700532,0.7330942,0.1035397,0.0007319697,0.0002392758,0.02090608],"study_design_scores_gemma":[0.00007419987,0.001183191,0.1298617,0.0000212172,0.0001026302,0.0002360942,0.0005243676,0.7377976,0.1282031,0.0006877687,0.001237719,0.00007033703],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983488,0.00003260456,0.001172775,0.000009124858,0.000001422447,0.000007169016,0.0001017808,0.00003334463,0.0002930014],"genre_scores_gemma":[0.9995623,0.00001893,0.0002684015,0.000001602578,2.839768e-7,0.000003323084,0.00006444862,0.000005311953,0.00007545292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009137615,"threshold_uncertainty_score":0.01816881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007413726182442753,"score_gpt":0.2187813376900994,"score_spread":0.2113676115076566,"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."}}