{"id":"W2115723698","doi":"10.1061/(asce)gt.1943-5606.0001087","title":"Short-Term Local Tensile Strains in HDPE Heap Leach Geomembranes from Coarse Overliner Materials","year":2014,"lang":"en","type":"article","venue":"Journal of Geotechnical and Geoenvironmental Engineering","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Geomembrane; Heap leaching; Ultimate tensile strength; High-density polyethylene; Geotechnical engineering; Materials science; Grain size; Polyethylene; Tensile strain; Particle-size distribution; Composite material; Particle size; Geology; Metallurgy; Copper","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001669731,0.0002680892,0.0001819815,0.0001443354,0.0001982246,0.0002486295,0.0001425858,0.0002377017,0.0007489931],"category_scores_gemma":[0.0003175733,0.00014355,0.0001455754,0.0002265253,0.0002247753,0.0002315621,0.0002633051,0.0002916647,0.0001107721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001653913,"about_ca_system_score_gemma":0.0001046527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005534002,"about_ca_topic_score_gemma":0.0009972958,"domain_scores_codex":[0.9998635,0.00001748966,0.00001068714,0.00002579338,0.00005193053,0.00003051401],"domain_scores_gemma":[0.9997794,0.00005372787,0.00006820881,0.00001697955,0.00004394414,0.0000377247],"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":[0.000173669,0.00001752486,0.001447679,0.00002771042,0.000006167619,0.00008396745,0.00004746112,0.0002152975,0.9970776,0.00001158838,0.000008314935,0.0008830226],"study_design_scores_gemma":[0.000008912481,0.0004720209,0.04156022,0.00000642454,0.00001151978,0.00007954547,0.0002175103,0.0008055166,0.9564786,0.00002055931,0.0003313418,0.000007857522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999593,0.00004454798,0.0001598968,0.000002473409,0.000001509041,0.000003858884,0.00005717805,0.000003796474,0.0001336845],"genre_scores_gemma":[0.999015,0.00006326345,0.0002372711,0.000006825158,0.00000162284,0.000009361718,0.000162081,0.000004476432,0.0005001085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007489931,"threshold_uncertainty_score":0.0025056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005263707067309427,"score_gpt":0.1891395215854892,"score_spread":0.1838758145181798,"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."}}