{"id":"W2086566277","doi":"10.1016/j.ijplas.2011.02.006","title":"The backstress effect of evolving deformation boundaries in FCC polycrystals","year":2011,"lang":"en","type":"article","venue":"International Journal of Plasticity","topic":"Microstructure and mechanical properties","field":"Materials Science","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; General Motors of Canada; Université de Sherbrooke","keywords":"Materials science; Electron backscatter diffraction; Plasticity; Dislocation; Crystal plasticity; Hardening (computing); Kinematics; Deformation (meteorology); Microstructure; Strain hardening exponent; Mechanics; Finite element method; Flow stress; Diffraction; Geometry; Composite material; Classical mechanics; Optics; Thermodynamics; Mathematics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006198281,0.00006520192,0.0001392438,0.00006551856,0.0000637441,0.00009687299,0.0003736007,0.00003248734,0.0002198359],"category_scores_gemma":[0.0008934082,0.00003484368,0.00005312741,0.00003381902,0.0001412999,0.0003443267,0.00006153853,0.0001059759,0.000005978362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005145882,"about_ca_system_score_gemma":0.00006569353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001013408,"about_ca_topic_score_gemma":0.00007469729,"domain_scores_codex":[0.9989833,0.00009199861,0.00044648,0.00005067053,0.0003271845,0.0001003365],"domain_scores_gemma":[0.9990146,0.0002695184,0.0003730867,0.00004483109,0.0002692505,0.00002872099],"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":[0.001280666,0.0000300997,0.002578363,0.00002135548,0.0000315163,0.00001449331,0.001224377,0.00003815191,0.991117,0.001907143,0.000234407,0.001522433],"study_design_scores_gemma":[0.0004389885,0.0002542045,0.007873569,0.0001237698,0.00001193811,0.00006047802,0.0001063812,0.0002497566,0.9884767,0.002121861,0.0002360835,0.00004630434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956611,0.0001262968,0.002283113,0.0000415293,0.001355737,0.00004286888,0.00001095487,0.000003129551,0.0004752242],"genre_scores_gemma":[0.999568,0.000009698943,0.0003092016,0.00001642593,0.00008013812,7.336202e-7,3.840246e-7,0.00000319409,0.00001218702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005295205,"threshold_uncertainty_score":0.2407049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168646566703831,"score_gpt":0.2404297572052783,"score_spread":0.22874329153824,"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."}}