{"id":"W2470556621","doi":"10.1139/tcsme-2006-0001","title":"STRESS-BASED FINITE ELEMENT METHOD FOR EULER-BERNOULLI BEAMS","year":2006,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto; University of New Brunswick","funders":"","keywords":"Finite element method; Bernoulli's principle; Displacement (psychology); Transverse plane; Boundary value problem; Stress (linguistics); Mathematics; Mathematical analysis; Compatibility (geochemistry); Mixed finite element method; Structural engineering; Physics; Materials science; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000545457,0.0005871934,0.0005596714,0.0006399503,0.000331996,0.0003349603,0.001083189,0.0007183833,0.004095786],"category_scores_gemma":[0.001017717,0.0003566052,0.0005017531,0.0005977426,0.0003733074,0.0005805453,0.0007107747,0.0009351425,0.002089072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003283854,"about_ca_system_score_gemma":0.0008776268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001213754,"about_ca_topic_score_gemma":0.001695689,"domain_scores_codex":[0.9996935,0.00006746778,0.00001800534,0.00002673541,0.0001832545,0.00001098912],"domain_scores_gemma":[0.9997521,0.00008772481,0.00001678681,0.0000250601,0.0001082907,0.000009960019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001061329,0.0001248839,0.000835801,0.0004956571,0.00009436511,0.0001486841,0.0003319476,0.3151142,0.08007623,0.141469,0.005613754,0.4555894],"study_design_scores_gemma":[0.00002791689,0.00004467159,0.0001850567,0.00004516309,0.00002015585,0.0001210835,0.0000188303,0.9492055,0.006339089,0.01653611,0.02743055,0.0000259158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007915735,0.00008714639,0.9977997,0.00002358482,0.00003780172,0.00001743669,0.0000191755,0.0001050445,0.001118449],"genre_scores_gemma":[0.04102306,0.0004126651,0.9528911,0.00008548945,0.00004032316,0.0004232703,0.0001261334,0.0001459852,0.004851964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004095786,"threshold_uncertainty_score":0.0137018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005758469677298715,"score_gpt":0.2068250265701059,"score_spread":0.2010665568928072,"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."}}