{"id":"W2389142394","doi":"","title":"SIMULATION OF SEAMLESS TUBE STRETCH REDUCING PROCESS BY MULTI-FIELD SEQENTIAL COUPLING FEA","year":2010,"lang":"en","type":"article","venue":"","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Microstructure; Finite element method; Materials science; Tube (container); Process (computing); Coupling (piping); Deformation (meteorology); Mechanical engineering; Thermal; Mechanics; Structural engineering; Composite material; Engineering; Computer science; Physics; Thermodynamics","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":[0.000300842,0.0003801936,0.0004175052,0.0003903543,0.0004022405,0.0004137197,0.0008676655,0.001225075,0.002775234],"category_scores_gemma":[0.0006100141,0.0003414685,0.0005089054,0.0002742648,0.0004547325,0.0004445217,0.0003516171,0.000351812,0.0002226376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006475565,"about_ca_system_score_gemma":0.0006424216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01158404,"about_ca_topic_score_gemma":0.005175378,"domain_scores_codex":[0.9998726,0.00002792691,0.000005737183,0.00002134435,0.00004891198,0.00002354218],"domain_scores_gemma":[0.9997832,0.00009963127,0.00003165506,0.00002375458,0.00004370724,0.00001797476],"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":[0.00002411528,0.00002226463,0.0005238105,0.00001709565,0.000005835175,0.00004145526,0.00004081952,0.9935899,0.003391517,0.0008340069,0.0000669609,0.00144227],"study_design_scores_gemma":[0.000003237913,0.000008296989,0.0001299832,9.387809e-7,0.000001008772,0.000003614048,0.000004903129,0.9993131,0.0003605249,0.00007678478,0.00009602593,0.000001609344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6822898,0.0001752577,0.2933089,0.0002370387,0.00004475777,0.000183707,0.0005148337,0.0008985279,0.02234708],"genre_scores_gemma":[0.972593,0.00006867496,0.0232263,0.00002257897,0.000004466547,0.0001349011,0.0001494764,0.00005058532,0.003749932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01158404,"threshold_uncertainty_score":0.02303326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041076892676332,"score_gpt":0.2620747852154662,"score_spread":0.2516640162887029,"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."}}