{"id":"W3175989308","doi":"10.1088/1757-899x/1157/1/012066","title":"Evaluation of Simple Shear Test Geometries for Constitutive Characterization using Virtual Experiments","year":2021,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Hardening (computing); Direct shear test; Isotropy; Shear (geology); Finite element method; Simple shear; Structural engineering; Composite material; Constitutive equation; Digital image correlation; Ultimate tensile strength; Plane stress; Tensile testing; Mechanics; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008900813,0.000710253,0.0004141921,0.0005062644,0.0001960901,0.0004343657,0.0006326504,0.0005183749,0.001811327],"category_scores_gemma":[0.001866812,0.0002453793,0.0002835845,0.0002861586,0.0004518851,0.0002963236,0.0004105,0.0002235834,0.0001921877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003391514,"about_ca_system_score_gemma":0.0003358894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006743554,"about_ca_topic_score_gemma":0.0008933555,"domain_scores_codex":[0.9996728,0.00007216864,0.00003062619,0.00004601843,0.0001412138,0.00003722317],"domain_scores_gemma":[0.9987626,0.0005833899,0.0001371946,0.0002658676,0.0002054054,0.00004564076],"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":[0.0004220722,0.0002581861,0.006357617,0.000296567,0.00003860649,0.0002135891,0.0003089033,0.5942641,0.3727677,0.001613731,0.0004556561,0.02300314],"study_design_scores_gemma":[0.00003628271,0.001213779,0.00607374,0.00003440263,0.00003720503,0.0001503899,0.0001729357,0.7528766,0.2367662,0.000527062,0.002063063,0.00004837831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622529,0.0001240934,0.03499379,0.00004524138,0.00003136865,0.00007499136,0.0003705644,0.0002534685,0.001853609],"genre_scores_gemma":[0.9829964,0.00006848128,0.01637348,0.000009417322,0.000002891353,0.00004777141,0.0001502806,0.00003405454,0.0003171804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001811327,"threshold_uncertainty_score":0.006059468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05615001801207849,"score_gpt":0.2990765370703086,"score_spread":0.2429265190582301,"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."}}