{"id":"W3092063892","doi":"10.1139/cgj-2020-0124","title":"Discrete element modelling of rock creep behaviour using rate process theory","year":2020,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Creep; Geotechnical engineering; Joint (building); Constitutive equation; Discrete element method; Stress (linguistics); Geology; Materials science; Rock mechanics; Work (physics); Finite element method; Structural engineering; Mechanics; Composite material; Engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003471423,0.0001604313,0.0002311395,0.0001199279,0.000145366,0.00004775204,0.0002869221,0.0001217283,0.0000753681],"category_scores_gemma":[0.00003131147,0.0001603934,0.0001100796,0.0001653801,0.000008008566,0.0001207236,0.00002449182,0.0005860439,0.000003352146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000157035,"about_ca_system_score_gemma":0.0002466962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000421399,"about_ca_topic_score_gemma":0.000135293,"domain_scores_codex":[0.9987712,0.00003016718,0.0004336199,0.000148913,0.0001770985,0.000439011],"domain_scores_gemma":[0.9988741,0.00001491771,0.00007059761,0.0001233405,0.00009642614,0.0008206593],"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":[0.000007565979,0.000002540295,0.000007098562,0.00002651406,0.00002394927,0.0000352833,0.0001262271,0.9967012,0.002203191,0.0003585353,0.0000417957,0.0004660464],"study_design_scores_gemma":[0.0001728858,0.00003787757,0.000002562904,0.0000751653,0.00004569009,0.00004270265,0.0001506054,0.9942919,0.002631447,0.002141135,0.0002229256,0.0001850769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1477378,0.0003231561,0.8514429,0.0001756699,0.0001049511,0.00009925332,0.00002007699,0.00004747022,0.0000486894],"genre_scores_gemma":[0.9977893,0.00007714266,0.001701581,0.0002006437,0.0001732522,0.000002609622,0.000002878249,0.00004796738,0.000004656166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8500515,"threshold_uncertainty_score":0.6540653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03211941284286004,"score_gpt":0.2316779513286781,"score_spread":0.199558538485818,"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."}}