{"id":"W1956321546","doi":"10.1111/j.1475-1305.2008.00515.x","title":"Monotonic and Cyclic Plasticity Response of Magnesium Alloy. Part II. Computational Simulation and Implementation of a Hardening Model","year":2008,"lang":"en","type":"article","venue":"Strain","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Dalhousie University","funders":"AUTO21 Network of Centres of Excellence","keywords":"Subroutine; Monotonic function; Constitutive equation; Hardening (computing); Magnesium alloy; Plasticity; Isothermal process; Materials science; Alloy; Structural engineering; Magnesium; Metallurgy; Computer science; Finite element method; Engineering; Composite material; Thermodynamics; Mathematics; Mathematical analysis; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001008768,0.0003261508,0.0002184419,0.0002429262,0.0002039045,0.0002186292,0.0007769028,0.0005660559,0.002341621],"category_scores_gemma":[0.0003227957,0.0001619937,0.0003668267,0.0002120337,0.0002644453,0.0002137116,0.000232666,0.0001939382,0.0002697331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004639136,"about_ca_system_score_gemma":0.0005684291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007437896,"about_ca_topic_score_gemma":0.004502009,"domain_scores_codex":[0.999945,0.000007261296,0.000003174232,0.00001066626,0.0000231108,0.00001073705],"domain_scores_gemma":[0.9999399,0.00001698108,0.0000108108,0.00001579354,0.00001169966,0.000004805032],"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":[0.00007465141,0.00007393398,0.001798002,0.0001030685,0.00001625732,0.0001446821,0.00007244467,0.9511836,0.02997451,0.003215436,0.0004624923,0.01288098],"study_design_scores_gemma":[0.000006368205,0.00002637924,0.0008710679,0.000002964794,0.000004223268,0.00002488301,0.000007537496,0.9934048,0.005049134,0.000186482,0.0004120667,0.000004034866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9232268,0.0004248901,0.05355271,0.0001584828,0.00004140486,0.0001262858,0.0005506444,0.0004144154,0.0215043],"genre_scores_gemma":[0.9898027,0.0001009737,0.007729463,0.00001904795,0.00000390467,0.00007514174,0.0001819387,0.00003159739,0.002055315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007437896,"threshold_uncertainty_score":0.01478916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03340175154622091,"score_gpt":0.2931488156316368,"score_spread":0.2597470640854159,"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."}}