{"id":"W2020928538","doi":"10.1016/j.msea.2008.10.015","title":"On the activation of recrystallization nucleation sites in Cu and Fe","year":2008,"lang":"en","type":"article","venue":"Materials Science and Engineering A","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Nucleation; Recrystallization (geology); Misorientation; Electron backscatter diffraction; Materials science; Dynamic recrystallization; Crystallography; Grain boundary; Chemical physics; Metallurgy; Chemistry; Hot working; Thermodynamics; Microstructure; Geology; Physics","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":[0.0001420438,0.0001865878,0.000199856,0.0001988215,0.0003595381,0.0003682086,0.0005009075,0.0002725667,0.002728171],"category_scores_gemma":[0.0002981463,0.0001323446,0.0001515466,0.0001041874,0.0003731932,0.0005186173,0.0002875356,0.0003755295,0.0003303246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004314867,"about_ca_system_score_gemma":0.0001496339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002836943,"about_ca_topic_score_gemma":0.004225125,"domain_scores_codex":[0.9999235,0.00000959126,0.000002895499,0.00001403894,0.0000227944,0.00002724547],"domain_scores_gemma":[0.9998975,0.00005944116,0.0000120923,0.00001340551,0.00001283253,0.000004717911],"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":[0.002007792,0.000148337,0.002175555,0.0007147039,0.0000500227,0.0006649022,0.0006944275,0.01044155,0.9087951,0.03379397,0.00254553,0.0379681],"study_design_scores_gemma":[0.00005248524,0.000176956,0.003595785,0.00002172485,0.00001887882,0.0001700159,0.0002035518,0.01656418,0.9680066,0.002330774,0.008838976,0.00001998856],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800956,0.002484331,0.003571675,0.0002199116,0.00006586704,0.00002504226,0.00006611103,0.00006055418,0.01341088],"genre_scores_gemma":[0.9956471,0.0006012456,0.0005607267,0.00001859165,0.00001024061,0.000007449563,0.00006141214,0.00002172453,0.003071506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002836943,"threshold_uncertainty_score":0.009126604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01568037773342485,"score_gpt":0.1885460982099147,"score_spread":0.1728657204764899,"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."}}