{"id":"W2014990733","doi":"10.5755/j01.mech.17.5.721","title":"BUCKLING ANALYSIS OF COMPOSITE LONG CYLINDERS USING PROBABILISTIC FINITE ELEMENT METHOD","year":2011,"lang":"en","type":"article","venue":"Mechanika","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"China University of Petroleum, Beijing; National Natural Science Foundation of China","keywords":"Buckling; Finite element method; Structural engineering; Materials science; Composite number; Modulus; Hydrostatic pressure; Monte Carlo method; Shear modulus; Composite material; Engineering; Mechanics; Mathematics; 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":[0.0003606982,0.0003379545,0.0003079567,0.0004416868,0.0002423227,0.0001943788,0.0004615407,0.0004675519,0.001314641],"category_scores_gemma":[0.0006778567,0.0003353163,0.0004648252,0.0002218663,0.0002797905,0.0003220034,0.0002643782,0.0002183848,0.0002006891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002500363,"about_ca_system_score_gemma":0.0003839105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001790026,"about_ca_topic_score_gemma":0.001657051,"domain_scores_codex":[0.9997271,0.00004180307,0.0000126498,0.00002987505,0.0001698178,0.00001875628],"domain_scores_gemma":[0.9996355,0.0001765901,0.00005558605,0.00003345645,0.0000914043,0.000007599397],"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":[0.00002787711,0.00001249953,0.000453623,0.00004772862,0.00001070008,0.00003740967,0.00003961286,0.9630761,0.0260269,0.001701298,0.00006536969,0.008501012],"study_design_scores_gemma":[0.000001215174,0.00001085942,0.0002614755,0.000001405243,0.000001486156,0.00001349192,0.000003074952,0.9974584,0.001893888,0.00022159,0.0001299697,0.000003263846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.233182,0.0002236313,0.7607888,0.00006532465,0.000008816162,0.00004160636,0.0001144471,0.0004045467,0.005170909],"genre_scores_gemma":[0.9444836,0.0001098874,0.05364923,0.00001009126,0.000003446415,0.00006166819,0.00009130254,0.00003446607,0.001556241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001790026,"threshold_uncertainty_score":0.004397929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05565082522122,"score_gpt":0.283911983572582,"score_spread":0.228261158351362,"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."}}