{"id":"W4225924317","doi":"10.2139/ssrn.4081907","title":"Analysis of Strain Hardening Behavior of a High-Mn TWIP Steel Using Electron Microscopy and Cyclic Stress Relaxation","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Twip; Materials science; Hardening (computing); Strain hardening exponent; Stress relaxation; Electron microscope; Strain (injury); Composite material; Metallurgy; Microstructure; Crystal twinning; Physics; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005873098,0.0001535633,0.0003799473,0.000334255,0.0001575167,0.00002051926,0.0001926228,0.00006408217,0.00006034942],"category_scores_gemma":[0.00001434207,0.000153353,0.0001418872,0.0004318712,0.00003291134,0.0001177458,0.00005662579,0.001155214,1.436006e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005130766,"about_ca_system_score_gemma":0.0002230905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001197049,"about_ca_topic_score_gemma":0.0002260009,"domain_scores_codex":[0.9981868,0.00007326948,0.0004560971,0.0001594313,0.0002611997,0.0008632351],"domain_scores_gemma":[0.9994929,0.00002325083,0.0002344404,0.0001456116,0.00005174906,0.00005206963],"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":[0.00005706958,0.00003129261,0.0009316787,0.00002786705,0.0007939083,0.000001739377,0.0002743443,0.03243902,0.9599711,0.00156358,0.000003196551,0.00390515],"study_design_scores_gemma":[0.00359739,0.002607832,0.01088727,0.000139294,0.007993748,0.0006919424,0.007744162,0.02862053,0.9248216,0.01134644,0.0002978787,0.001251972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917337,0.004014585,0.003891138,0.00001241123,0.00009857322,0.0001201617,0.00009406878,0.00002110484,0.00001426816],"genre_scores_gemma":[0.9988737,0.0006394344,0.0003250104,0.00000749464,0.00003483371,0.000005364075,0.00002741524,0.00003008878,0.00005672428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03514961,"threshold_uncertainty_score":0.6253554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007474614156566332,"score_gpt":0.232029669971532,"score_spread":0.2245550558149656,"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."}}