{"id":"W2084941025","doi":"10.1016/j.geotexmem.2014.08.002","title":"Heat and moisture migration in a geomembrane–GCL composite liner subjected to high temperatures and low vertical stresses","year":2014,"lang":"en","type":"article","venue":"Geotextiles and Geomembranes","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Cardiff University","keywords":"Geomembrane; Geosynthetic clay liner; Subgrade; Geotechnical engineering; Moisture; Materials science; Composite number; Composite material; Water content; Environmental science; Geology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002264896,0.0002113134,0.0004611419,0.0003059072,0.0006190882,0.0005780403,0.0004136983,0.0007080103,0.003410199],"category_scores_gemma":[0.0002974226,0.00019855,0.0003455211,0.0002677193,0.0008270025,0.0004422208,0.0003131181,0.0004919099,0.00033613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005118049,"about_ca_system_score_gemma":0.0002993554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005701846,"about_ca_topic_score_gemma":0.004151129,"domain_scores_codex":[0.9998649,0.00001481544,0.000006319249,0.00003979144,0.0000351963,0.00003891649],"domain_scores_gemma":[0.9997974,0.00006254781,0.000040177,0.00001868835,0.00004458213,0.00003664911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005710532,0.0006487565,0.01721581,0.0001074804,0.00005012744,0.001298991,0.0005012326,0.03778072,0.9278818,0.0003321767,0.0005692947,0.007903087],"study_design_scores_gemma":[0.0002275837,0.003695206,0.1936089,0.00002704443,0.0001043915,0.0003280442,0.002263737,0.2447977,0.5531367,0.0002884934,0.001361069,0.0001612169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993842,0.00001150506,0.0002034257,0.00001630868,0.000005234405,0.000003762482,0.00006172405,0.00001903569,0.0002947446],"genre_scores_gemma":[0.9994569,0.00000676422,0.000120083,0.00000618682,0.000001076936,0.000002744306,0.00003321461,0.00000392153,0.0003689844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005701846,"threshold_uncertainty_score":0.01140821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002714384141968877,"score_gpt":0.1879834279243577,"score_spread":0.1852690437823888,"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."}}