{"id":"W2792784416","doi":"10.1007/s10064-018-1229-2","title":"Numerical simulation of mechanical response of glacial tills under biaxial compression with the DEM","year":2018,"lang":"en","type":"article","venue":"Bulletin of Engineering Geology and the Environment","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Hohai University; China Scholarship Council","keywords":"Gradation; Silt; Glacial period; Geotechnical engineering; Geology; Geomorphology","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":[0.0003119356,0.0004159049,0.0005213559,0.0008327485,0.0006312861,0.0006862604,0.0006721724,0.001544815,0.002930911],"category_scores_gemma":[0.001456553,0.0003569579,0.000495884,0.001132236,0.0008494493,0.0005185867,0.0004924475,0.0005636219,0.0001845178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007048555,"about_ca_system_score_gemma":0.0006535524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03595775,"about_ca_topic_score_gemma":0.01891376,"domain_scores_codex":[0.9998589,0.00002798422,0.00001288464,0.00002180095,0.00003276027,0.00004572564],"domain_scores_gemma":[0.9992779,0.0003767783,0.0000888959,0.00006090708,0.0001113287,0.00008418165],"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":[0.00006504428,0.00004958077,0.003033201,0.00002746958,0.00001563718,0.0001069953,0.00003185728,0.994093,0.000932267,0.0004550831,0.0001412309,0.001048688],"study_design_scores_gemma":[0.00001315675,0.0000243112,0.002564888,0.000004273636,0.000005627139,0.00001177697,0.0000343169,0.9969399,0.0002148213,0.00008811136,0.00009118234,0.000007583633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834404,0.0001919286,0.004417,0.0002977,0.00006760124,0.00002586335,0.0005810346,0.0001848819,0.0107935],"genre_scores_gemma":[0.9983765,0.00005545001,0.0006511681,0.00001679453,0.000007804241,0.000009860152,0.000107406,0.000008496652,0.0007664054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03595775,"threshold_uncertainty_score":0.0714969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003693710578870547,"score_gpt":0.1734732139919799,"score_spread":0.1697795034131094,"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."}}