{"id":"W2754076303","doi":"10.1139/cgj-2017-0375","title":"Field measurements of overlap reductions for two reinforced fabric-encased geosynthetic clay liners (GCLs)","year":2017,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geosynthetic clay liner; Geomembrane; Shrinkage; Geotechnical engineering; Geosynthetics; Bentonite; Materials science; Composite number; High-density polyethylene; Composite material; Geotextile; Full scale; Geology; Polyethylene; Hydraulic conductivity; Soil water; Structural engineering; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004795081,0.0001758242,0.0002453241,0.00007604084,0.00109708,0.00008910013,0.0006322478,0.000121107,0.001110085],"category_scores_gemma":[0.0008790306,0.0001520083,0.0001869222,0.00006060659,0.0003964078,0.0002994594,0.0001333657,0.0003177995,0.00005698274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006901345,"about_ca_system_score_gemma":0.00009265196,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02722967,"about_ca_topic_score_gemma":0.003575415,"domain_scores_codex":[0.9984369,0.00002896916,0.0003827969,0.000225621,0.0003808557,0.0005448296],"domain_scores_gemma":[0.9984074,0.00006667042,0.0003111195,0.0005377885,0.00001972231,0.0006573279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007092584,0.0003388682,0.09115861,0.00007530952,0.0008425639,0.0003726758,0.0009188154,0.1225475,0.5024587,0.0002326059,0.1883142,0.09203085],"study_design_scores_gemma":[0.02004753,0.006419881,0.2936788,0.001046784,0.001569825,0.004567284,0.000973305,0.03789774,0.4843203,0.006199917,0.1377124,0.00556621],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8758934,0.0002235462,0.01794325,0.03241438,0.003047951,0.002705206,0.0003024251,0.0001164394,0.0673534],"genre_scores_gemma":[0.9976422,0.00002231887,0.0009154804,0.0005052767,0.0001203916,0.00001708415,0.000002898932,0.000019509,0.0007547983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2025202,"threshold_uncertainty_score":0.999803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03588250205829773,"score_gpt":0.2829971017652558,"score_spread":0.2471145997069581,"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."}}