{"id":"W2084044545","doi":"10.4028/www.scientific.net/msf.519-521.103","title":"Influence of Spatial Grain Orientation Distribution on Sheet Metal Necking","year":2006,"lang":"en","type":"article","venue":"Materials science forum","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Novelis (Canada); McMaster University","funders":"","keywords":"Necking; Materials science; Electron backscatter diffraction; Cube (algebra); Sheet metal; Tension (geology); Plasticity; Finite element method; Texture (cosmology); Orientation (vector space); Geometry; Crystal plasticity; Pole figure; Plane (geometry); Composite material; Structural engineering; Compression (physics); Microstructure; Mathematics","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":[0.0001707396,0.00021949,0.0003102361,0.0002308613,0.0002781346,0.0006025069,0.000375362,0.0002728277,0.001035955],"category_scores_gemma":[0.0008857269,0.0002033876,0.0002302783,0.0003535872,0.0003944511,0.0002686593,0.0002601244,0.0001703101,0.00007667014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005187003,"about_ca_system_score_gemma":0.0004214899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003273815,"about_ca_topic_score_gemma":0.002559327,"domain_scores_codex":[0.9999024,0.00001125954,0.000006933783,0.00002177721,0.00002446226,0.00003320841],"domain_scores_gemma":[0.9996929,0.0001354514,0.00005120804,0.00003919867,0.00005163536,0.0000296114],"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":[0.0006145209,0.0001013415,0.01878418,0.0001563965,0.00007684677,0.0006736739,0.000197672,0.7851176,0.1837242,0.001951525,0.0003246097,0.008277524],"study_design_scores_gemma":[0.00004601428,0.0004220469,0.01430836,0.00001519253,0.00008066613,0.0001737102,0.0002187463,0.8948723,0.0887566,0.0004395446,0.0006290969,0.00003773052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974279,0.00004951489,0.001362912,0.00001571294,0.000004677121,0.000004978884,0.00007590302,0.00004447205,0.001013955],"genre_scores_gemma":[0.9994695,0.00003067324,0.0003585868,0.000002514768,6.442094e-7,0.000002892101,0.00003764495,0.000008310879,0.00008920299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003273815,"threshold_uncertainty_score":0.006509542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005761890484979128,"score_gpt":0.2375473133529495,"score_spread":0.2317854228679704,"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."}}