{"id":"W1548902778","doi":"10.1111/ffe.12059","title":"Ratcheting assessment of materials based on the modified Armstrong–Frederick hardening rule at various uniaxial stress levels","year":2013,"lang":"en","type":"article","venue":"Fatigue & Fracture of Engineering Materials & Structures","topic":"High Temperature Alloys and Creep","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Hardening (computing); Materials science; Strain hardening exponent; Shakedown; Structural engineering; Composite material; Engineering; Finite element method","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":[0.0005553804,0.0004971848,0.0002255167,0.0007332626,0.0001350506,0.0002408619,0.0003910309,0.0004542698,0.001202449],"category_scores_gemma":[0.0008917031,0.0002159414,0.0002469243,0.0003569608,0.0002455085,0.0003744951,0.0001625967,0.000282782,0.0001999959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002770044,"about_ca_system_score_gemma":0.0001277299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009754047,"about_ca_topic_score_gemma":0.002521239,"domain_scores_codex":[0.9996387,0.0000230381,0.00003356503,0.00006546043,0.0002089606,0.00003017675],"domain_scores_gemma":[0.999333,0.0001514609,0.0001665077,0.0001010955,0.0002197123,0.00002828468],"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":[0.0002146698,0.00002884468,0.003375748,0.0001012262,0.0000147095,0.00009022785,0.00006686774,0.006502982,0.9713624,0.0001148366,0.00009602891,0.01803156],"study_design_scores_gemma":[0.000005291394,0.0004942201,0.02739047,0.00001268826,0.00002177612,0.00009056896,0.00005879513,0.03931478,0.9316517,0.00004948846,0.0008814548,0.00002874324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854952,0.0005123319,0.01271066,0.00002104946,0.00002943647,0.00003584125,0.0001379071,0.0002141671,0.000843434],"genre_scores_gemma":[0.9942279,0.0001429778,0.00459378,0.000008796888,0.000002962127,0.00002030323,0.00009076769,0.00001463599,0.0008979127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001202449,"threshold_uncertainty_score":0.004022539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023770615858203,"score_gpt":0.2199058579362448,"score_spread":0.2096681517776628,"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."}}