{"id":"W2801589642","doi":"10.1139/tcsme-2000-0012","title":"BUCKLING OF THIN ANISOTROPIC SHELLS","year":2000,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Buckling; Anisotropy; Parametric statistics; Elasticity (physics); Materials science; Structural engineering; Mechanics; Mathematics; Composite material; Physics; Engineering; Optics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00005719447,0.00009073216,0.0001552689,0.00003444527,0.00008105189,0.000008582801,0.0001583137,0.0000906135,0.0002840903],"category_scores_gemma":[0.000003150279,0.00008305279,0.0004568599,0.0002559115,0.00001289739,0.00004809435,0.000001255903,0.0001184273,5.034859e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001197815,"about_ca_system_score_gemma":0.00003320773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00163424,"about_ca_topic_score_gemma":0.004108932,"domain_scores_codex":[0.9994706,0.000002867326,0.0002042629,0.00007692487,0.00008481379,0.0001605296],"domain_scores_gemma":[0.9996747,0.00002720855,0.00001599189,0.0001740057,0.00003043996,0.00007767421],"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":[0.000001018797,0.000002519708,7.634437e-7,0.00005662764,0.0001091804,2.718624e-8,0.0001159775,0.9881639,0.00845449,0.0004251795,0.00003985258,0.002630495],"study_design_scores_gemma":[0.0001462079,0.00001291951,0.00002994174,0.00002838502,0.0001108009,0.000001200455,0.00001884249,0.9650944,0.03265667,0.00009420278,0.001713531,0.00009284058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07191873,0.0003012794,0.9263057,0.0001759455,0.0003870271,0.000332592,0.0001349667,0.000108721,0.0003350175],"genre_scores_gemma":[0.9815843,0.00005453256,0.01821901,0.000019848,0.0000249162,0.000006415197,0.000004103551,0.00002159119,0.00006532257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9096655,"threshold_uncertainty_score":0.3386794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003913121665728326,"score_gpt":0.1707764219881414,"score_spread":0.1668633003224131,"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."}}