{"id":"W627454186","doi":"10.4271/2003-01-2740","title":"Object Oriented Formulation of the 3D Large Deformation Beam Element for Crash Applications","year":2003,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Crash; Deformation (meteorology); Element (criminal law); Computer science; Beam (structure); Finite element method; Computer graphics (images); Structural engineering; Engineering; Materials science; Programming language; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003279399,0.0004177251,0.0002429387,0.0003842835,0.0002342191,0.0005558587,0.0007966399,0.0006642748,0.004394115],"category_scores_gemma":[0.0005216137,0.0002177125,0.0003125538,0.0002734045,0.0002932361,0.0005196574,0.000390379,0.0005132036,0.001580984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002670283,"about_ca_system_score_gemma":0.0004924409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009215293,"about_ca_topic_score_gemma":0.0017578,"domain_scores_codex":[0.9998115,0.00003134892,0.000008554314,0.00001364798,0.0001265337,0.000008376507],"domain_scores_gemma":[0.9998496,0.00004083908,0.000009825216,0.00002014447,0.00007336279,0.000006203231],"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":[0.00005312688,0.00006737698,0.0007966096,0.0001423904,0.00001828656,0.0002004714,0.0002221392,0.4802105,0.03435574,0.3348104,0.005977732,0.1431451],"study_design_scores_gemma":[0.00001024309,0.00002870325,0.0001873042,0.0000134444,0.000006333581,0.00007364596,0.00002671113,0.9457431,0.005245536,0.01720974,0.03144576,0.000009409877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001616463,0.00002833678,0.9946755,0.00003865382,0.0000183111,0.00002078619,0.00003597713,0.0001168166,0.003449172],"genre_scores_gemma":[0.07035248,0.000269767,0.9200218,0.0001036136,0.00003946991,0.0002282955,0.0002511306,0.0002407223,0.00849264],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004394115,"threshold_uncertainty_score":0.01469976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005109206051834896,"score_gpt":0.2169962140410145,"score_spread":0.2118870079891796,"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."}}