{"id":"W2049454717","doi":"10.1002/nme.464","title":"Numerical modelling of shear bands by element bands","year":2002,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Shear band; Classification of discontinuities; Shear (geology); Finite element method; Simple shear; Mechanics; Structural engineering; Materials science; Geology; Geometry; Physics; Engineering; Mathematical analysis; Mathematics; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005445608,0.0002111216,0.0003422697,0.0002950655,0.00003118672,0.00003777897,0.0004211138,0.0001115822,0.0000784758],"category_scores_gemma":[0.0001809573,0.0002121787,0.0001468497,0.000218485,0.00001355228,0.0001745333,0.00003117152,0.000502385,0.000001273121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000376,"about_ca_system_score_gemma":0.000006381485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000916896,"about_ca_topic_score_gemma":3.011395e-8,"domain_scores_codex":[0.9983023,0.00004251839,0.0007522809,0.0001660603,0.0003611713,0.0003756494],"domain_scores_gemma":[0.9991195,0.0004046931,0.00008932417,0.0001202729,0.0001179933,0.000148254],"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":[0.00001919448,0.00002853554,0.0001942384,0.00006700135,0.00007237744,0.000006474145,0.0001783727,0.9194855,0.002074584,0.0001283737,0.0009515155,0.07679383],"study_design_scores_gemma":[0.000367972,0.00007834437,0.00008312958,0.0001210068,0.000007405469,0.00005718502,0.00001016777,0.9682158,0.01988493,0.0005232934,0.0104502,0.0002005508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008109715,0.000846512,0.9877249,0.0001223656,0.0027598,0.0001328171,0.00001306633,0.0001720556,0.0001187954],"genre_scores_gemma":[0.4458324,0.0002679496,0.5534705,0.00001546801,0.0003195931,0.00002908014,0.000002419565,0.00004453003,0.00001805741],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4377227,"threshold_uncertainty_score":0.8652397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05640173493087603,"score_gpt":0.3843809994242438,"score_spread":0.3279792644933678,"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."}}