{"id":"W2995696553","doi":"10.1002/nag.3007","title":"Modeling cyclic shearing of sands in the semifluidized state","year":2019,"lang":"en","type":"article","venue":"International Journal for Numerical and Analytical Methods in Geomechanics","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"FP7 Ideas: European Research Council; Division of Civil, Mechanical and Manufacturing Innovation; Natural Sciences and Engineering Research Council of Canada","keywords":"Liquefaction; Geotechnical engineering; Dilatant; Shearing (physics); Constitutive equation; Pore water pressure; Shear stress; Simple shear; Plasticity; Granular material; Triaxial shear test; Shear (geology); Effective stress; Overburden pressure; Materials science; Compaction; Geology; Structural engineering; Composite material; Engineering; Finite element method","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001614384,0.0001338053,0.0003147282,0.0002188737,0.00001839833,0.00004554727,0.0003379283,0.00009281827,0.00001276545],"category_scores_gemma":[0.0003524363,0.000100027,0.0001218067,0.0002463472,0.000008443433,0.00008321694,0.00005202799,0.0005327792,0.000001293249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006039605,"about_ca_system_score_gemma":0.00001277962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001235851,"about_ca_topic_score_gemma":0.000001024083,"domain_scores_codex":[0.9987127,0.00006884536,0.0005462288,0.000142083,0.0002713954,0.0002587039],"domain_scores_gemma":[0.9992715,0.0004439946,0.0000348847,0.000106304,0.00007173842,0.00007162686],"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":[0.0000517627,0.00004915383,0.00004152684,0.00004180547,0.00005606525,0.00001018317,0.0001546318,0.9416423,0.003185776,0.01104393,0.000005976105,0.04371689],"study_design_scores_gemma":[0.0005513459,0.00006346271,0.00002236664,0.00008116506,0.000009706067,0.00004322773,0.00009048402,0.9594279,0.0003154124,0.03897491,0.0003068093,0.0001131953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1604601,0.0002152375,0.8382972,0.0002009853,0.0006132583,0.0001042254,0.000004606004,0.00002236184,0.00008200965],"genre_scores_gemma":[0.962965,0.0003828102,0.03648958,0.00006091132,0.00005499095,0.000008793726,0.000001636195,0.00001974645,0.00001651583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8025049,"threshold_uncertainty_score":0.4078981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02212644112519099,"score_gpt":0.3412326892110412,"score_spread":0.3191062480858503,"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."}}