{"id":"W2603918902","doi":"10.1061/9780784480472.024","title":"Laboratory Measurement of the Linear Thermal Expansion of Geomembranes Using a Dynamic Mechanical Analyzer (DMA)","year":2017,"lang":"en","type":"article","venue":"Geotechnical Frontiers 2017","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CTT Group (Canada)","funders":"","keywords":"Geomembrane; Materials science; Spectrum analyzer; Thermal; Thermal expansion; Leakage (economics); Composite material; Computer science","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":[0.0005790024,0.0005374085,0.0002940127,0.0003910548,0.000440618,0.0003437233,0.0005279009,0.0004335011,0.002100085],"category_scores_gemma":[0.0009199923,0.0001864654,0.0001966145,0.0004202582,0.0004773844,0.0004938638,0.0003806442,0.0004356177,0.0004762822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002183884,"about_ca_system_score_gemma":0.000308568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003588827,"about_ca_topic_score_gemma":0.0008413069,"domain_scores_codex":[0.999436,0.00007376499,0.00004091206,0.0001337013,0.0002676399,0.00004810892],"domain_scores_gemma":[0.9993259,0.0002356601,0.0001398588,0.0001027655,0.0001610769,0.00003480883],"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":[0.00005464147,0.00006175402,0.001588805,0.00006626497,0.000004772566,0.00002681261,0.00008034059,0.0002421374,0.9911039,0.0001759203,0.00009816807,0.006496681],"study_design_scores_gemma":[0.000007600445,0.0005938669,0.007844646,0.0000105136,0.00001339823,0.0001060491,0.00009425764,0.002596421,0.9870802,0.00007976955,0.001559901,0.00001328538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8682709,0.0004596524,0.1250654,0.00007693905,0.0000775629,0.0002141903,0.0009022424,0.0006757706,0.004257488],"genre_scores_gemma":[0.9485001,0.0003791977,0.04842387,0.00003825633,0.00002027311,0.000401638,0.0003218477,0.0000428641,0.001871958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002100085,"threshold_uncertainty_score":0.00702548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237764247240852,"score_gpt":0.2540610074877666,"score_spread":0.2316833650153581,"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."}}