{"id":"W1984038787","doi":"10.1061/(asce)gt.1943-5606.0001160","title":"Performance of GCL after 10 Years in Service in the Arctic","year":2014,"lang":"en","type":"article","venue":"Journal of Geotechnical and Geoenvironmental Engineering","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Geosynthetic clay liner; Bentonite; Geotechnical engineering; Hydraulic conductivity; Geology; Geomembrane; Water table; Permafrost; Hydrology (agriculture); Groundwater; Soil science; Soil water","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":[0.0004733611,0.0001176728,0.0002041584,0.00005244373,0.00001459706,0.000006341979,0.0001911569,0.00005304174,0.0002289332],"category_scores_gemma":[0.00002779067,0.00008241402,0.00004238411,0.0001433193,0.0001034774,0.0001862843,0.0001913398,0.0002595954,0.00002115624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001076226,"about_ca_system_score_gemma":0.000001079785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006020593,"about_ca_topic_score_gemma":0.000009233009,"domain_scores_codex":[0.9990208,0.00002733278,0.0003548183,0.0001097885,0.0002911282,0.0001961471],"domain_scores_gemma":[0.9996542,0.00007329626,0.00009633961,0.0001249719,9.128266e-7,0.00005028761],"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":[0.0003497383,0.0006587606,0.4158351,0.0001566847,0.00003460168,0.00009529079,0.001554077,0.5501264,0.01301776,0.000008269822,0.0000501701,0.01811316],"study_design_scores_gemma":[0.000464853,0.0002389073,0.9832373,0.00006765417,0.00001069741,0.00008534508,0.00004466729,0.0144743,0.0003028926,0.00001604938,0.0009584841,0.00009888554],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994441,0.0001078346,0.000006492387,0.0002010487,0.00002302302,0.00009153446,0.000001022375,0.000002325616,0.0001226066],"genre_scores_gemma":[0.9994874,0.0001970861,0.0001192644,0.0001474096,0.00001819991,0.000008278355,3.400805e-7,0.000008863026,0.00001316044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5674022,"threshold_uncertainty_score":0.3360746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003215533955270288,"score_gpt":0.1686186118288918,"score_spread":0.1654030778736215,"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."}}