{"id":"W3093482921","doi":"10.2514/6.2002-1257","title":"Refined Design Curves for Shear Buckling of Curved Panels Using Nonlinear Finite Element Analysis","year":2002,"lang":"en","type":"article","venue":"43rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bombardier (Canada)","funders":"","keywords":"Finite element method; Buckling; Structural engineering; Nonlinear system; Shear (geology); Materials science; Engineering; Composite material; Physics","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":[0.0006648163,0.000742672,0.0004290139,0.0008094318,0.0003730246,0.0006277654,0.0006335609,0.001013403,0.009560013],"category_scores_gemma":[0.002566555,0.0004340066,0.0004372984,0.0002893012,0.0004462671,0.0005180797,0.0004863349,0.0006580697,0.001333673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008580229,"about_ca_system_score_gemma":0.000783382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003150088,"about_ca_topic_score_gemma":0.006035782,"domain_scores_codex":[0.9997578,0.00006554164,0.00001044368,0.00002480566,0.0001169145,0.00002440581],"domain_scores_gemma":[0.99944,0.0001877441,0.00006105044,0.00007923188,0.0002140097,0.00001805236],"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":[0.00009264366,0.00006642756,0.0007493413,0.00008636607,0.00001019049,0.00005491887,0.0001797207,0.9228795,0.01920859,0.01230587,0.001353725,0.04301272],"study_design_scores_gemma":[0.00001127212,0.00004072429,0.0002743035,0.00001511897,0.000003550588,0.000014938,0.00001832862,0.9913579,0.004249508,0.002047621,0.001957062,0.000009734481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1291595,0.0001396837,0.8366531,0.0001591125,0.00004404598,0.0001708607,0.0003557179,0.001465261,0.03185266],"genre_scores_gemma":[0.7326806,0.0001567364,0.2522771,0.00007536808,0.00001292458,0.0002984104,0.0003816732,0.0006584472,0.01345869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009560013,"threshold_uncertainty_score":0.03198147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04288824331458496,"score_gpt":0.2500153321883583,"score_spread":0.2071270888737733,"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."}}