{"id":"W2771630766","doi":"10.1139/cjce-2017-0159","title":"Shear deformable hybrid finite element formulation for buckling analysis of composite columns","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Finite element method; Buckling; Structural engineering; Shear (geology); Compatibility (geochemistry); Materials science; Composite number; Displacement field; Flexural strength; Composite material; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002116587,0.0001222449,0.0003731906,0.000777213,0.0001652868,0.0001236293,0.0002229348,0.00003881469,0.00005321415],"category_scores_gemma":[0.00005624925,0.000131997,0.0002697952,0.0002043856,0.000008485773,0.0003097283,0.000007699794,0.0001033995,2.474109e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001707599,"about_ca_system_score_gemma":0.00006507091,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004102724,"about_ca_topic_score_gemma":0.03237637,"domain_scores_codex":[0.9990947,0.000003817971,0.0004744618,0.00006997501,0.0001211936,0.0002358552],"domain_scores_gemma":[0.9990918,0.00004169487,0.00022283,0.0002198338,0.0002125777,0.0002112872],"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":[0.000003859198,0.000001496637,0.002836925,0.00004733498,0.0007670638,0.000003736046,0.0001063492,0.9946454,0.0009519467,0.0001272209,0.00007842953,0.0004302006],"study_design_scores_gemma":[0.0002692514,0.00002826527,0.01087508,0.00006136728,0.0007484517,0.000004890719,0.000008452039,0.9842333,0.001626571,0.00002983311,0.001986314,0.000128225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1493686,0.0004156552,0.8490003,0.00003277499,0.0003942242,0.0001136279,0.0000667468,0.00001468612,0.0005933095],"genre_scores_gemma":[0.9957519,0.00002701468,0.004052766,0.000006611146,0.00009578673,0.000001886588,0.00003204488,0.00002162613,0.00001041098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8463832,"threshold_uncertainty_score":0.9852802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00628937639730149,"score_gpt":0.1964620566616093,"score_spread":0.1901726802643078,"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."}}