{"id":"W2767081535","doi":"10.1115/pvp2017-66238","title":"Comparison of Strip Yield and Net Section Plasticity Models for a Bar in Bending With a Single Edge Crack","year":2017,"lang":"en","type":"article","venue":"","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Plasticity; Yield (engineering); Materials science; Bending; Bar (unit); Enhanced Data Rates for GSM Evolution; Structural engineering; Stress (linguistics); Mechanics; Deformation (meteorology); Yield surface; Geometry; Finite element method; Composite material; Constitutive equation; Mathematics; Geology; Computer science; Physics; Engineering","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":[0.00006905097,0.00006640318,0.0001508009,0.00006586586,0.00004822083,0.00003124493,0.00005134123,0.00005059493,0.000009842587],"category_scores_gemma":[0.00005274572,0.00005948506,0.00001238606,0.00002324503,0.00001758964,0.0002690541,0.00001457634,0.00005655355,1.65617e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000230719,"about_ca_system_score_gemma":0.000003272693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007099977,"about_ca_topic_score_gemma":0.0002636682,"domain_scores_codex":[0.999629,0.000002357597,0.0001492592,0.00007790832,0.00005467704,0.00008685299],"domain_scores_gemma":[0.9997333,0.0000778889,0.0000493134,0.00009682063,0.00002195986,0.00002071279],"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":[0.0002725742,0.0002436152,0.06269733,0.001093807,0.00008933405,0.0000011753,0.001713327,0.7649363,0.1306657,0.01873698,0.001198381,0.01835145],"study_design_scores_gemma":[0.0002212578,0.0001214077,0.00303832,0.00007269952,0.000007112406,5.238541e-7,0.00003087214,0.894111,0.1011505,0.001136666,0.00003598615,0.00007371362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6461405,0.000008088823,0.3508992,0.000002694098,0.00003140787,0.0001488534,0.000003445055,0.00007379474,0.002691986],"genre_scores_gemma":[0.9877373,0.00000120345,0.01217586,0.000001452327,0.00001769704,0.00001084388,0.000001666725,0.00001095591,0.00004302355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3415968,"threshold_uncertainty_score":0.242573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08200013797504069,"score_gpt":0.3096978221159121,"score_spread":0.2276976841408714,"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."}}