{"id":"W2914212746","doi":"10.1007/s11665-019-03912-8","title":"Modeling the Work Hardening Behavior of High-Manganese Steels","year":2019,"lang":"en","type":"article","venue":"Journal of Materials Engineering and Performance","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Materials science; Stacking-fault energy; Manganese; Crystal twinning; Plasticity; Work hardening; Hardening (computing); Metallurgy; Twip; Martensite; Volume fraction; Composite material; Microstructure","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":[0.0002397548,0.0005211385,0.0004247173,0.0004049582,0.0004337915,0.0006617737,0.001200431,0.001574477,0.002690698],"category_scores_gemma":[0.0007088492,0.0005115272,0.0005171933,0.0003928506,0.0004464455,0.0005328399,0.0002862541,0.0004018603,0.0002878398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195219,"about_ca_system_score_gemma":0.001326819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03773459,"about_ca_topic_score_gemma":0.03182231,"domain_scores_codex":[0.9999262,0.00001400641,0.000003082237,0.000013153,0.00002050611,0.00002307957],"domain_scores_gemma":[0.9997502,0.0001139582,0.00003945144,0.00001794598,0.00004928021,0.00002922637],"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":[0.00001810069,0.00003124932,0.0006295636,0.00001396394,0.000006443995,0.00003928224,0.00001205113,0.9957113,0.001732695,0.0008473543,0.00007644188,0.0008815284],"study_design_scores_gemma":[0.000005326248,0.000007817916,0.0002915314,0.000001242389,0.000001772605,0.000003731866,0.000005558423,0.999262,0.0001723707,0.0001487579,0.00009810732,0.000001741632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9274558,0.0003757093,0.04128371,0.0003779705,0.00007483567,0.00007491922,0.0004147534,0.0002433632,0.02969887],"genre_scores_gemma":[0.9917437,0.0001004166,0.003212846,0.00002090136,0.000007916765,0.00001893476,0.000085511,0.00003408702,0.00477557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03773459,"threshold_uncertainty_score":0.07502991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006834382536657943,"score_gpt":0.1705332013141658,"score_spread":0.1636988187775078,"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."}}