{"id":"W2067670542","doi":"10.1016/j.commatsci.2014.01.017","title":"Effects of post-necking hardening behavior and equivalent stress–strain curves on the accuracy of M–K based forming limit diagrams","year":2014,"lang":"en","type":"article","venue":"Computational Materials Science","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; General Motors of Canada","keywords":"Necking; Materials science; Hardening (computing); Strain hardening exponent; Forming limit diagram; Electron backscatter diffraction; Stress (linguistics); Composite material; Plasticity; Finite element method; Mechanics; Sheet metal; Thermodynamics; Physics; Microstructure","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":[0.0007411425,0.00009525532,0.0001527479,0.000104653,0.0000861655,0.00004837982,0.0002120682,0.00002064736,0.0000201348],"category_scores_gemma":[0.0009322483,0.00007318911,0.00002319987,0.0001419439,0.0001835625,0.0001908331,0.00005004664,0.00003660544,8.4807e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000178426,"about_ca_system_score_gemma":0.00002431247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004212425,"about_ca_topic_score_gemma":2.282161e-7,"domain_scores_codex":[0.9990679,0.00004305065,0.0002719138,0.0001273466,0.0003590147,0.0001307906],"domain_scores_gemma":[0.9983604,0.001242467,0.0001305928,0.0001099056,0.0001246091,0.00003202601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005420028,0.0000239883,0.0002743388,0.0007547073,0.000003691394,4.36029e-7,0.0001126066,0.1119472,0.8772015,0.005466171,0.000003736627,0.004206192],"study_design_scores_gemma":[0.0001081881,0.0000789478,0.02605024,0.0007512076,0.00001154786,0.000001065292,0.000007067857,0.09279922,0.8791308,0.0009747857,0.000002095599,0.00008480598],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972524,0.00004143578,0.02681458,0.00003574873,0.0001491572,0.0002992449,0.00003592021,0.00006708538,0.00003282803],"genre_scores_gemma":[0.9915292,0.000004487621,0.00835525,0.00004914873,0.00001696167,0.00002466988,0.00001010417,0.000009412222,8.023687e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02577591,"threshold_uncertainty_score":0.2984565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719771801389447,"score_gpt":0.2664039488362465,"score_spread":0.249206230822352,"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."}}