{"id":"W2030297857","doi":"10.1029/2008jb005591","title":"Adaptive octree‐based finite element analysis of two‐ and three‐dimensional indentation problems","year":2008,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Octree; Adaptive mesh refinement; Finite element method; Grid; Deformation (meteorology); von Mises yield criterion; Indentation; Computer science; Regular grid; Plasticity; Algorithm; Computational science; Mesh generation; Geology; Geometry; Structural engineering; Mathematics; Materials science","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":[0.0007472453,0.0005084898,0.0006297853,0.0006369232,0.0005039546,0.0008503748,0.001006017,0.00120387,0.001393078],"category_scores_gemma":[0.002384773,0.0004088058,0.0006402981,0.0005441541,0.0009006127,0.0008794763,0.001044413,0.0008556308,0.0002285171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006970377,"about_ca_system_score_gemma":0.0008871771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007371811,"about_ca_topic_score_gemma":0.00732162,"domain_scores_codex":[0.9997599,0.00009766757,0.00001343595,0.00002235647,0.00007877503,0.00002788475],"domain_scores_gemma":[0.9987237,0.0008809452,0.0001129451,0.00008527086,0.0001412988,0.00005572619],"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":[0.00002885722,0.00002975062,0.0005324895,0.00002630017,0.00001296348,0.00003541856,0.00005248461,0.9789067,0.001252731,0.01026781,0.0002228517,0.008631606],"study_design_scores_gemma":[0.000002325446,0.000003451225,0.00004510522,0.000001324624,5.568864e-7,0.000004705449,0.000004128442,0.9984269,0.0001157151,0.001176715,0.0002172494,0.000001896111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05152151,0.0002371938,0.9442779,0.0002298161,0.00003498059,0.00005509683,0.00007867382,0.0001740978,0.003390702],"genre_scores_gemma":[0.6132381,0.0003514077,0.3805535,0.0001450973,0.00003628654,0.0002665586,0.0001885456,0.0001545538,0.005065999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007371811,"threshold_uncertainty_score":0.0146578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08796530853958917,"score_gpt":0.378382973131101,"score_spread":0.2904176645915119,"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."}}