{"id":"W2067083573","doi":"10.1002/nag.274","title":"Kinematic modelling of shear band localization using discrete finite elements","year":2003,"lang":"en","type":"article","venue":"International Journal for Numerical and Analytical Methods in Geomechanics","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Shear band; Finite element method; Shear (geology); Classification of discontinuities; Mechanics; Geology; Geotechnical engineering; Kinematics; Mohr–Coulomb theory; Simple shear; Structural engineering; Lateral earth pressure; Engineering; Physics; Mathematics; Classical mechanics; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005420742,0.0004654391,0.0004436727,0.0006861764,0.0003294076,0.0009871075,0.000745192,0.0007378732,0.001718105],"category_scores_gemma":[0.001299283,0.0004565806,0.0004523853,0.0003266017,0.0009623262,0.0005209821,0.0006677566,0.0005282362,0.0004498852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004179217,"about_ca_system_score_gemma":0.0003952685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002451881,"about_ca_topic_score_gemma":0.00147312,"domain_scores_codex":[0.9997467,0.00006978343,0.00002138651,0.00003426791,0.0001104725,0.00001740785],"domain_scores_gemma":[0.9995562,0.0001804688,0.0000754724,0.00008130309,0.0000838047,0.00002277564],"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":[0.00002910134,0.00002166734,0.0005966735,0.00003034322,0.00000787875,0.00004751231,0.00009312996,0.9608725,0.00875683,0.01639306,0.0001252702,0.01302602],"study_design_scores_gemma":[0.000002592421,0.000006259898,0.00004040536,0.000003728785,0.000001718995,0.000005485047,0.000003592345,0.9975203,0.001147197,0.0007677912,0.0004991741,0.000001801185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0348955,0.00007566759,0.9620153,0.00004122215,0.00002698845,0.00002299278,0.00003202297,0.0002864549,0.002603826],"genre_scores_gemma":[0.7451848,0.0002046132,0.2499805,0.00001714158,0.0000152829,0.0001061335,0.0001185935,0.00008160178,0.004291251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002451881,"threshold_uncertainty_score":0.005747616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05074630645833856,"score_gpt":0.3526731551257739,"score_spread":0.3019268486674353,"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."}}