{"id":"W2081732633","doi":"10.1016/j.commatsci.2011.05.006","title":"A new strain hardening model for rate-dependent crystal plasticity","year":2011,"lang":"en","type":"article","venue":"Computational Materials Science","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; University of Waterloo","funders":"General Motors of Canada; Université de Sherbrooke","keywords":"Materials science; Formability; Crystal plasticity; Plasticity; Hardening (computing); Strain hardening exponent; Aluminium; Alloy; Microstructure; Plane stress; Finite element method; Metallurgy; Composite material; Structural engineering; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004168937,0.0005501005,0.001060184,0.0005561096,0.0008144524,0.001199563,0.002880381,0.002240609,0.004939951],"category_scores_gemma":[0.001538635,0.00055988,0.0009291476,0.0006929243,0.0008478881,0.001761255,0.001046366,0.001467823,0.0007375909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006454083,"about_ca_system_score_gemma":0.001153807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005525438,"about_ca_topic_score_gemma":0.005397664,"domain_scores_codex":[0.9998119,0.00004800641,0.00001013222,0.00002629609,0.00007958509,0.00002401224],"domain_scores_gemma":[0.9996756,0.0001237273,0.0000257642,0.00006186996,0.00007505317,0.00003795082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000195827,0.00006198668,0.0001704137,0.00004251159,0.00002654213,0.00006118201,0.00003135801,0.9177585,0.002460174,0.07220029,0.001133204,0.00603431],"study_design_scores_gemma":[0.000008416518,0.000003777978,0.00002138503,0.00000191789,0.000002868966,0.000005663104,0.000002177916,0.9947599,0.0001576022,0.004366376,0.0006669263,0.000003119298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04545099,0.0006574077,0.9210363,0.0008840871,0.000437854,0.0001797349,0.0004361499,0.0005950029,0.03032244],"genre_scores_gemma":[0.6463063,0.001278347,0.3146699,0.0007526745,0.0003455453,0.0008567651,0.0007872045,0.001119991,0.03388335],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005525438,"threshold_uncertainty_score":0.01652575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05159629953194294,"score_gpt":0.2700135242151506,"score_spread":0.2184172246832077,"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."}}