{"id":"W2558372488","doi":"10.1016/j.msea.2016.11.105","title":"Evolution of texture and microstructure during high strain rate torsion of aluminium zinc magnesium copper alloy","year":2016,"lang":"en","type":"article","venue":"Materials Science and Engineering A","topic":"Microstructure and mechanical properties","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Science and Engineering Research Board; Indian Institute of Technology Kanpur","keywords":"Misorientation; Materials science; Electron backscatter diffraction; Strain rate; Microstructure; Metallurgy; Torsion (gastropod); Copper; Zinc; Texture (cosmology); Aluminium; Grain size; Grain boundary; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006290261,0.000147476,0.0002528461,0.00009619394,0.00009505248,0.00005278845,0.0001825801,0.00007079011,0.0001089725],"category_scores_gemma":[0.0001204674,0.00009048062,0.00001448128,0.0001240367,0.0003836059,0.0003167204,0.00015728,0.00003087681,0.000002477065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003878435,"about_ca_system_score_gemma":0.0000502595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008015442,"about_ca_topic_score_gemma":0.000002027225,"domain_scores_codex":[0.9989172,0.00002439981,0.0002770277,0.0003028226,0.0001999681,0.0002785625],"domain_scores_gemma":[0.999508,0.00001912927,0.00009863264,0.0001797513,0.0001128086,0.00008173415],"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":[0.00004657676,0.000004055286,0.00003597941,0.0002414625,0.000001144902,8.629727e-7,0.0001495505,0.00001668556,0.9987442,0.0006831154,0.0000164325,0.00005996128],"study_design_scores_gemma":[0.0002942414,0.00006193221,0.01590171,0.0001208705,0.00000924994,0.00002039051,0.00004853417,0.00001617938,0.9832319,0.0001240686,0.00004150207,0.0001294455],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988467,0.0001607178,0.00007773958,0.00008132496,0.0005573777,0.0001155304,0.0001249487,0.00003030658,0.000005343436],"genre_scores_gemma":[0.9990306,0.00002551749,0.0007881504,0.00001144005,0.00006438162,0.000003396388,8.794101e-7,0.00001058252,0.00006508303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01586573,"threshold_uncertainty_score":0.3689693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003976542529222265,"score_gpt":0.1766209254819842,"score_spread":0.1726443829527619,"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."}}