{"id":"W2007560528","doi":"10.1016/j.geotexmem.2013.07.008","title":"Physical modelling of nonwoven/nonwoven GCL shrinkage under simulated field conditions","year":2013,"lang":"en","type":"article","venue":"Geotextiles and Geomembranes","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada; Carleton University; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Shrinkage; Geosynthetic clay liner; Water content; Geomembrane; Geotextile; Moisture; Composite material; Materials science; Geotechnical engineering; Subsoil; Environmental science; Soil science; Geology; Soil water","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004677616,0.0001835618,0.0002493049,0.00002762767,0.0001649536,0.0000294555,0.000124406,0.00006660773,0.002810984],"category_scores_gemma":[0.000009788292,0.0001451559,0.00007444298,0.0001021262,0.0002611206,0.0002992327,0.0002439251,0.0001033008,0.0003639374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002313201,"about_ca_system_score_gemma":0.000002499214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001990493,"about_ca_topic_score_gemma":0.00001591836,"domain_scores_codex":[0.9990173,0.00002103219,0.0001929177,0.0002671514,0.0002058055,0.0002958034],"domain_scores_gemma":[0.9994374,0.0001637775,0.00007511113,0.0002096749,0.000005918978,0.0001081167],"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":[0.000007652487,0.0001279788,0.00126979,0.00002449072,0.00003760886,0.00000240394,0.000706295,0.9793929,0.01661272,0.00005214145,0.0003744989,0.001391565],"study_design_scores_gemma":[0.001447931,0.0004239668,0.1082581,0.00007839346,0.000118327,0.00002519619,0.0009759971,0.8609909,0.01024194,0.01544259,0.001154199,0.0008424829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933794,0.00007171947,0.0001651225,0.0004479321,0.00003826493,0.0002355899,0.00002326291,0.00003058614,0.005608175],"genre_scores_gemma":[0.998682,0.0001122625,0.00002398952,0.0003160865,0.0000352908,0.0000115186,0.00001295922,0.00001556062,0.0007903837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.118402,"threshold_uncertainty_score":0.9981006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01035343648423077,"score_gpt":0.2175866968071154,"score_spread":0.2072332603228846,"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."}}