{"id":"W2040906338","doi":"10.1016/j.matdes.2015.04.044","title":"Numerical study of the large strain behavior of extruded magnesium alloy AM30 tube by elastic viscoplastic self-consistent model","year":2015,"lang":"en","type":"article","venue":"Materials & Design (1980-2015)","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"China Scholarship Council; Ontario Ministry of Research, Innovation and Science; National Natural Science Foundation of China","keywords":"Viscoplasticity; Materials science; Extrusion; Crystal twinning; Composite material; Anisotropy; Uniaxial tension; Magnesium alloy; Strain rate; Deformation (meteorology); Compression (physics); Volume fraction; Tension (geology); Tube (container); Alloy; Constitutive equation; Ultimate tensile strength; Structural engineering; Finite element method; Microstructure; Engineering; Physics; Optics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001501319,0.0004719546,0.0008414387,0.00008389526,0.0002070184,0.0001595708,0.001060947,0.0001725349,0.0005816206],"category_scores_gemma":[0.0001457839,0.0003319659,0.0001073864,0.0002845081,0.0001985783,0.0002212263,0.0003793442,0.0001196762,0.0001315976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001049924,"about_ca_system_score_gemma":0.0003628132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004182957,"about_ca_topic_score_gemma":0.00002220455,"domain_scores_codex":[0.9956347,0.0007738495,0.001290124,0.0006960562,0.0009193032,0.0006859355],"domain_scores_gemma":[0.9974939,0.0001414956,0.0006301745,0.001105341,0.0003640264,0.0002650642],"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":[0.000171304,0.002473966,0.000385348,0.0001311092,0.00001956972,0.000004164504,0.001382991,0.002483849,0.990896,0.0002611658,0.001774406,0.00001610301],"study_design_scores_gemma":[0.003601595,0.001961028,0.002018099,0.00005938209,0.0008658438,0.00003310752,0.002151191,0.00588661,0.9820366,0.000244513,0.0002954168,0.0008466408],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891143,0.00009491831,0.006691896,0.0001713102,0.000720314,0.002405422,0.0006011522,0.0001429246,0.00005779956],"genre_scores_gemma":[0.9958,0.000002413453,0.002724121,0.00007102577,0.00008563481,0.000780421,0.00002253176,0.00007632702,0.0004374891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008859452,"threshold_uncertainty_score":0.9999132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03486709952113696,"score_gpt":0.2658714829078654,"score_spread":0.2310043833867284,"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."}}