{"id":"W2126908923","doi":"10.4236/ajcm.2013.33030","title":"Finite Element Analysis of the Ramberg-Osgood Bar","year":2013,"lang":"en","type":"article","venue":"American Journal of Computational Mathematics","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Finite element method; Uniqueness; Bar (unit); Axial symmetry; Mathematical analysis; Mathematics; Boundary value problem; Nonlinear system; A priori and a posteriori; Mixed finite element method; Work (physics); Extended finite element method; Applied mathematics; Structural engineering; Geometry; Physics; Engineering; Thermodynamics","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":[0.0003396273,0.0001788183,0.0006597453,0.0002878167,0.00004398223,0.00002515238,0.0004168479,0.00002524695,0.0001361354],"category_scores_gemma":[0.0004150656,0.0001272171,0.0003574696,0.001436053,0.0002093338,0.0001374511,0.00005474959,0.0002103671,0.0000139899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007455851,"about_ca_system_score_gemma":0.00004791404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001985048,"about_ca_topic_score_gemma":2.580553e-7,"domain_scores_codex":[0.99778,0.00008859328,0.001149988,0.00008349832,0.0007249208,0.0001729933],"domain_scores_gemma":[0.9952791,0.002897535,0.0009417635,0.0002186553,0.0005702429,0.00009264237],"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":[0.000002155244,0.00008684197,0.0002019743,0.00005216561,0.000949638,6.782938e-7,0.0005039286,0.9834014,0.00005676486,0.005186795,0.0001225021,0.009435142],"study_design_scores_gemma":[0.00014167,0.00008987677,0.003484428,0.00006143359,0.0003973905,0.00001811675,0.0003807811,0.8188521,0.0001462491,0.1762456,0.00005929331,0.0001230135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1098544,0.0000480362,0.8892263,0.0001754082,0.0001477154,0.0001335303,0.000009941368,0.00002332758,0.0003813756],"genre_scores_gemma":[0.515574,0.000006443379,0.4843023,0.0000597623,0.00002729122,0.000004073631,0.000001295498,0.00001770001,0.000007110011],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4057196,"threshold_uncertainty_score":0.5187764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299012543193594,"score_gpt":0.2771986970960294,"score_spread":0.2642085716640935,"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."}}