{"id":"W4386559834","doi":"10.1007/s12289-023-01782-z","title":"Heterogeneities induced by uniaxial compression and resulting errors in material behavior assessment","year":2023,"lang":"en","type":"article","venue":"International Journal of Material Forming","topic":"High-Velocity Impact and Material Behavior","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; École de Technologie Supérieure","funders":"","keywords":"Viscoplasticity; Materials science; Strain rate; Strain hardening exponent; Hardening (computing); Strain (injury); Deformation (meteorology); Composite material; Displacement (psychology); Mechanics; Compression (physics); Forensic engineering; Constitutive equation; Thermodynamics; Finite element method; Physics","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":[0.0009012139,0.000207585,0.0003614287,0.0003557138,0.0001100197,0.0004549688,0.0004487408,0.0001282362,0.0003421645],"category_scores_gemma":[0.00005957586,0.0001802816,0.00006076948,0.00009446483,0.0000662437,0.0008077503,0.0002940665,0.0001346894,0.00001637694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000226344,"about_ca_system_score_gemma":0.0001084089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003009244,"about_ca_topic_score_gemma":0.00002100812,"domain_scores_codex":[0.9977748,0.0001213262,0.0009003704,0.0001962579,0.0006563172,0.0003508611],"domain_scores_gemma":[0.9990477,0.00004731433,0.0005063826,0.0001003212,0.0001765582,0.0001217215],"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":[0.0004808409,0.00005019798,0.001046679,0.00001535562,0.00001163581,0.000135084,0.0005105785,0.00001752393,0.9963502,0.00004255049,0.000177667,0.001161675],"study_design_scores_gemma":[0.001414074,0.00021266,0.01308886,0.0002734183,0.00002673115,0.0001764959,0.0004800436,0.00004674707,0.9832352,0.00006482156,0.0007441584,0.0002367642],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918616,0.000004546406,0.00001490792,0.000195648,0.007306906,0.0002144732,0.0003231416,0.0000518043,0.00002692073],"genre_scores_gemma":[0.9984294,0.00002411954,0.0007068293,0.00003070407,0.0006434945,0.00002470922,0.00008186131,0.00002763153,0.00003128299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01311499,"threshold_uncertainty_score":0.7351671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03615105967576154,"score_gpt":0.3554016808575533,"score_spread":0.3192506211817918,"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."}}