{"id":"W4280624573","doi":"10.1038/s41563-022-01250-0","title":"Nanotwinning-assisted dynamic recrystallization at high strains and strain rates","year":2022,"lang":"en","type":"article","venue":"Nature Materials","topic":"Microstructure and mechanical properties","field":"Materials Science","cited_by":195,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Materials science; Recrystallization (geology); Dynamic recrystallization; Nanocrystalline material; Grain size; Electron backscatter diffraction; Strain rate; Metallurgy; Nanotechnology; Microstructure; Hot working; Geology","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":[0.0001270049,0.0003300882,0.0003008021,0.0001618631,0.0001778316,0.0003850653,0.0003814904,0.0002089989,0.003439135],"category_scores_gemma":[0.0002845709,0.0002649005,0.0001252372,0.0002966424,0.0002607084,0.0005594227,0.0003451481,0.0006099906,0.0006249772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002565031,"about_ca_system_score_gemma":0.0002244773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007053336,"about_ca_topic_score_gemma":0.003147282,"domain_scores_codex":[0.9998502,0.000005091117,0.000008235949,0.00004192412,0.00005156937,0.00004292344],"domain_scores_gemma":[0.9998786,0.00002639191,0.0000248678,0.0000369111,0.00002030142,0.00001288547],"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":[0.00008089346,0.0000230538,0.000122989,0.00007104781,0.000008078987,0.00004288343,0.00006452021,0.0004645411,0.9936639,0.0004388785,0.0003343728,0.004684822],"study_design_scores_gemma":[0.00002367115,0.00008998933,0.00143631,0.00000406553,0.000004410852,0.00004572291,0.00002923173,0.002349291,0.9938179,0.0001125884,0.002074528,0.00001230606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860446,0.0008853563,0.005848603,0.0001391344,0.000109221,0.00002991145,0.0003229091,0.0004791632,0.006141102],"genre_scores_gemma":[0.9955379,0.0001941573,0.001313962,0.00002910778,0.000008044058,0.00001370052,0.0001102546,0.000117399,0.002675434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003439135,"threshold_uncertainty_score":0.01150501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008427836371722484,"score_gpt":0.2435030256127858,"score_spread":0.2350751892410633,"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."}}