{"id":"W178342083","doi":"10.24908/pceea.v0i0.3839","title":"TEACHING FINITE ELEMENT ANALYSIS FOR DESIGN ENGINEERS","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Structural Engineering and Materials Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Finite element method; Curriculum; Engineering; Field (mathematics); Product design; Product (mathematics); Engineering management; New product development; Manufacturing engineering; Mechanical engineering; Software engineering; Systems engineering; Computer science; Engineering drawing; Structural engineering; Management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001614878,0.001266749,0.0007536106,0.001363132,0.0007097069,0.001640064,0.001244273,0.001061186,0.07727789],"category_scores_gemma":[0.009983089,0.0005169848,0.0006049642,0.001058064,0.0008165229,0.001714331,0.001977894,0.003134879,0.06433296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008262222,"about_ca_system_score_gemma":0.002053272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009632237,"about_ca_topic_score_gemma":0.001842835,"domain_scores_codex":[0.9986454,0.0002508975,0.00008202286,0.0001323254,0.0008386534,0.00005072044],"domain_scores_gemma":[0.9955099,0.00160874,0.0001819164,0.0007993536,0.001565467,0.0003347314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004470941,0.0003092073,0.0005902766,0.000467485,0.00001953221,0.0001787539,0.0005291876,0.004476589,0.01212545,0.03155249,0.1828458,0.7668605],"study_design_scores_gemma":[0.00004065317,0.0001278417,0.000698116,0.0005482952,0.00001131864,0.0008638147,0.0002134686,0.0123808,0.004825253,0.05980743,0.9204544,0.00002867698],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002321744,0.003771442,0.8851056,0.004333476,0.002179983,0.0002445218,0.0004604537,0.004959048,0.09662383],"genre_scores_gemma":[0.03525584,0.01161249,0.8175257,0.002423964,0.002198048,0.0008704822,0.001804609,0.001870023,0.1264388],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07727789,"threshold_uncertainty_score":0.2585203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184884112021155,"score_gpt":0.1916496645696398,"score_spread":0.1798008234494282,"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."}}