{"id":"W3194902357","doi":"10.1016/j.jallcom.2021.161607","title":"Mechanism of microstructure and texture evolution during shear loading of AA6063 alloys","year":2021,"lang":"en","type":"article","venue":"Journal of Alloys and Compounds","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electron backscatter diffraction; Materials science; Shearing (physics); Microstructure; Shear (geology); Composite material; Strain hardening exponent; Dislocation; Metallurgy; Hardening (computing); Volume fraction","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":[0.0000791059,0.0001071591,0.0001674216,0.0002121097,0.0003481021,0.0003279233,0.0002127731,0.0002437162,0.001868146],"category_scores_gemma":[0.0002028838,0.0001953352,0.0001374125,0.0001522244,0.0003358288,0.0001683423,0.000126147,0.000151657,0.0001745036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004086925,"about_ca_system_score_gemma":0.0002829347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003689379,"about_ca_topic_score_gemma":0.003372448,"domain_scores_codex":[0.9999579,0.000002809448,0.000001791331,0.000006375845,0.00001625946,0.00001487171],"domain_scores_gemma":[0.9999449,0.00001055751,0.0000155841,0.000006470907,0.00001331752,0.000009112206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005141185,0.00008231682,0.007224595,0.00007294592,0.00001442106,0.0004631154,0.0002894937,0.02432876,0.9540601,0.002584874,0.0004234619,0.009941837],"study_design_scores_gemma":[0.0000666725,0.0002724622,0.0927548,0.00001527198,0.00003111477,0.0003380103,0.0004419049,0.3607461,0.5408168,0.001638681,0.002834157,0.00004396062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971707,0.0001031837,0.0009330055,0.0000354679,0.000009360786,0.000007426377,0.00005738192,0.00003458093,0.001648736],"genre_scores_gemma":[0.9993099,0.00002597031,0.0002368539,0.000004016,0.000001069765,0.000002159069,0.0000224644,0.000006032732,0.0003915771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003689379,"threshold_uncertainty_score":0.007335782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005837950909641835,"score_gpt":0.2098128837544062,"score_spread":0.2039749328447644,"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."}}