{"id":"W7055183579","doi":"","title":"A Comparison Between 7- and 12-Parameter Shell Finite Elements for Large Deformation Analysis","year":2017,"lang":"en","type":"dissertation","venue":"OakTrust (Texas A&M University Libraries)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"High Performance Research Computing, Texas A and M University; Consejo Nacional de Ciencia y Tecnología; McGill University","keywords":"Finite element method; Shell (structure); Computation; Degrees of freedom (physics and chemistry); Interpolation (computer graphics); Displacement field; Deformation (meteorology); Displacement (psychology); Transient response","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001031812,0.0003036942,0.0005383614,0.0004398699,0.0004785311,0.0003008072,0.0004155318,0.0003523804,0.0001835741],"category_scores_gemma":[0.00002318986,0.000356704,0.0002025821,0.0002659069,0.00003089745,0.0008705416,0.00004589484,0.0002473751,0.00004319794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007545105,"about_ca_system_score_gemma":0.00004790157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003728381,"about_ca_topic_score_gemma":0.0002669512,"domain_scores_codex":[0.9988722,0.00002559273,0.0002959321,0.000318634,0.0001643879,0.0003232202],"domain_scores_gemma":[0.9989491,0.0001741396,0.0002350043,0.0004436653,0.0000541931,0.0001438683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001394255,0.0007721827,0.641257,0.006563183,0.02752116,0.00003012908,0.01488401,0.008192758,0.0003963791,0.0775765,0.1501242,0.07128824],"study_design_scores_gemma":[0.001805306,0.00007612375,0.09409577,0.0000937085,0.00485583,2.197177e-7,0.001337889,0.1036038,0.001325535,0.0008914243,0.7908395,0.00107493],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6340015,0.0006497242,0.1652354,0.0002423046,0.0009442501,0.004336596,0.0111978,0.001548957,0.1818435],"genre_scores_gemma":[0.9285678,0.0001547463,0.004294836,0.0000248525,0.000126664,0.00001236153,0.02884701,0.00006968778,0.03790199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6407153,"threshold_uncertainty_score":0.9998885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02239171653799323,"score_gpt":0.2433565641707675,"score_spread":0.2209648476327743,"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."}}