{"id":"W2890808770","doi":"10.18687/laccei2018.1.1.51","title":"Modal Calculations Using the Rigid Virtual Part in the Catia v5 Finite Element Software","year":2018,"lang":"en","type":"article","venue":"Proceedings of the 16th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Innovation in Education and Inclusion”","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"University of Windsor","keywords":"Finite element method; Modal; Computer science; Software; Modal analysis; Structural engineering; Computational science; Computer graphics (images); Engineering; Programming language; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004269838,0.0001774277,0.0001301262,0.000619304,0.0004546021,0.00008901372,0.0004995166,0.0001266996,0.00001987069],"category_scores_gemma":[0.0004489452,0.0001265083,0.00002187048,0.0009536684,0.0001299086,0.0003483283,0.0002199489,0.0002145767,3.835031e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001175416,"about_ca_system_score_gemma":0.0002058171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007042965,"about_ca_topic_score_gemma":0.00008062377,"domain_scores_codex":[0.9988656,0.000005748788,0.0005407039,0.0002224452,0.00019564,0.000169864],"domain_scores_gemma":[0.9986675,0.00005958302,0.0002108003,0.0001374696,0.0009043185,0.00002028327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004715442,0.001503109,0.127073,0.0008436554,0.0001317749,6.680848e-8,0.04418371,0.04342689,0.003807978,0.7200719,0.002965888,0.05594485],"study_design_scores_gemma":[0.001206028,0.0001016201,0.03340437,0.0007224647,0.00005732265,0.0000247743,0.009588824,0.8633899,0.008886069,0.01915831,0.0628276,0.0006326807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647527,0.0002400886,0.02783063,0.004308755,0.001586991,0.0008901656,0.00002257844,0.00009607829,0.0002720199],"genre_scores_gemma":[0.9902962,0.0001170758,0.008684652,0.0001648285,0.0001812687,0.0002950689,0.00003870548,0.00001919953,0.0002030162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.819963,"threshold_uncertainty_score":0.5158858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406728710243044,"score_gpt":0.2693224409961916,"score_spread":0.2552551538937611,"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."}}