{"id":"W2039653781","doi":"10.1016/j.compgeo.2009.03.012","title":"Buckling analysis of 3D layered structures using a Cosserat continuum approach","year":2009,"lang":"en","type":"article","venue":"Computers and Geotechnics","topic":"Nonlocal and gradient elasticity in micro/nano structures","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hatch (Canada); University of Toronto; Rocscience (Canada)","funders":"","keywords":"Buckling; Finite element method; Virtual work; Stiffness matrix; Consistency (knowledge bases); Boundary value problem; Stiffness; Structural engineering; Matrix (chemical analysis); Mathematics; Mathematical analysis; Geometry; Materials science; Engineering; Composite material","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":[0.0001544107,0.0001738962,0.000443843,0.0002047955,0.0001482319,0.00008801221,0.0002327862,0.00011164,0.00001536727],"category_scores_gemma":[0.00001728268,0.0001424764,0.00009386287,0.0004870228,0.0001379105,0.00007574105,0.00008829029,0.0001105517,3.358261e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001316745,"about_ca_system_score_gemma":0.00001504603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004333946,"about_ca_topic_score_gemma":0.000005802822,"domain_scores_codex":[0.998921,0.00003584441,0.0003044311,0.0003195539,0.0001629628,0.0002562166],"domain_scores_gemma":[0.999411,0.00005030292,0.0001609408,0.0002315836,0.00007571248,0.00007042902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006009581,0.00007553466,0.0003382163,0.00006196704,0.0001635354,0.000007987491,0.0005122817,0.1276136,0.8561339,0.003369163,0.0002244377,0.0114393],"study_design_scores_gemma":[0.0008904767,0.0003232812,0.01755054,0.00009010156,0.001088739,0.00006575092,0.0001313747,0.8270418,0.1413024,0.01008888,0.0006569504,0.0007697027],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7760293,0.000305834,0.2233059,0.00002555948,0.0001343927,0.00009123371,0.0000284718,0.00004530386,0.00003394127],"genre_scores_gemma":[0.9300148,0.00001487012,0.06968886,0.0002094449,0.00004652041,5.713632e-7,0.00001340433,0.000005286583,0.000006272895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7148315,"threshold_uncertainty_score":0.5810019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01291630444689924,"score_gpt":0.2414732511680328,"score_spread":0.2285569467211336,"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."}}