{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005498687,0.0001965619,0.0002878816,0.00006346253,0.0005083169,0.0001608512,0.0002301196,0.0001901181,0.007803568],"category_scores_gemma":[0.00008518853,0.0001609098,0.00002770899,0.0001173757,0.00007184631,0.0001251475,0.0003833336,0.000190149,0.00001892255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001386753,"about_ca_system_score_gemma":0.00004097467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004290437,"about_ca_topic_score_gemma":0.00003589383,"domain_scores_codex":[0.9983987,0.0002715584,0.0003200537,0.0004236092,0.0002890144,0.0002970319],"domain_scores_gemma":[0.9994552,0.00003048602,0.0001668487,0.000230997,0.00004939578,0.00006713156],"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":[0.0001148344,0.00001684455,0.0000036994,0.00005056489,0.000007092277,0.00001096878,0.0002000157,0.00001503184,0.9968531,0.001761703,0.0006536237,0.0003124828],"study_design_scores_gemma":[0.0004561486,0.0001416009,0.001936754,0.00001823185,0.00002146465,0.00007780913,0.000109812,0.00001154572,0.9899107,0.002365494,0.004704359,0.0002460454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995735,0.0004361772,0.00003303188,0.0004214187,0.001636641,0.0003140934,0.001217977,0.0001232871,0.00008231642],"genre_scores_gemma":[0.9969402,0.0000205246,0.0007377487,0.0006129011,0.00008143546,0.00004163275,0.0003644755,0.0000317178,0.001169367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007784645,"threshold_uncertainty_score":0.9931034,"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."}}