{"id":"W2743484024","doi":"10.4028/www.scientific.net/kem.748.328","title":"Numerical Modeling on the Stress-Strain Behavior of Sand via Disturbed State Concept Model","year":2017,"lang":"en","type":"article","venue":"Key engineering materials","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geotechnical engineering; Materials science; Hardening (computing); Softening; Constitutive equation; Stress (linguistics); Triaxial shear test; Stress–strain curve; Strain hardening exponent; Disturbance (geology); Deformation (meteorology); Composite material; Structural engineering; Finite element method; Geology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002248773,0.0003125169,0.0003407802,0.0004699248,0.000288244,0.0005990075,0.0008395451,0.0006999063,0.001601076],"category_scores_gemma":[0.0005392994,0.0002341055,0.0003338948,0.0004014753,0.0006653107,0.000645413,0.0003818563,0.0003746181,0.000211572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005039998,"about_ca_system_score_gemma":0.0005947137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007792289,"about_ca_topic_score_gemma":0.003609302,"domain_scores_codex":[0.9999027,0.00002262824,0.000004079172,0.00001445696,0.00003855261,0.00001766462],"domain_scores_gemma":[0.9998322,0.00005691918,0.00002712016,0.0000151557,0.00005430282,0.00001421004],"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":[0.0000218936,0.00001953285,0.0005937429,0.00002131263,0.000006278588,0.0000605026,0.0000497031,0.9772521,0.003906647,0.01525419,0.0001383223,0.002675749],"study_design_scores_gemma":[0.000001539797,0.000004512681,0.00005629789,8.360384e-7,8.519621e-7,0.000004111579,0.000002980613,0.9991321,0.0001542498,0.0004948586,0.0001463443,0.00000134295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2082076,0.0002743807,0.7716545,0.0002512686,0.0000485248,0.00007795734,0.0001741929,0.0003249239,0.01898663],"genre_scores_gemma":[0.9699221,0.0002271436,0.02334478,0.00002842434,0.00001269597,0.00008767429,0.00007710505,0.00003327579,0.006266798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007792289,"threshold_uncertainty_score":0.01549387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01651456404432908,"score_gpt":0.2176918499871631,"score_spread":0.2011772859428341,"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."}}