{"id":"W3002000324","doi":"10.1115/imece2019-10019","title":"Analytical and Numerical Modelling of Sheet Plate Cold Expanded Hole Subjected to Reverse Yielding","year":2019,"lang":"en","type":"article","venue":"","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Materials science; Residual stress; Hardening (computing); Structural engineering; Strain hardening exponent; Finite element method; Fuselage; Interference fit; Airplane; Shot peening; Alloy; Aluminium; Mechanics; Composite material; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002371444,0.000498809,0.0005230214,0.0005597776,0.0004965544,0.0007277029,0.0009073712,0.001728603,0.002814174],"category_scores_gemma":[0.0005971256,0.0003326969,0.0005999297,0.0003943231,0.000888943,0.0003446837,0.0003524107,0.000348953,0.0003193869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006432376,"about_ca_system_score_gemma":0.0006559186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0112774,"about_ca_topic_score_gemma":0.006341052,"domain_scores_codex":[0.9998764,0.00002168559,0.00000601286,0.00002164837,0.00004913452,0.00002519144],"domain_scores_gemma":[0.9997763,0.00008911388,0.00004471881,0.00002253188,0.00005251434,0.0000147764],"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":[0.00003218671,0.0000258097,0.0006539925,0.00004574741,0.000007668021,0.0002785802,0.00006147884,0.9888512,0.007361778,0.0008329189,0.000139711,0.001708906],"study_design_scores_gemma":[0.00000326107,0.00002729614,0.0005012002,0.000005400162,0.000003337446,0.00002380887,0.00001797205,0.9983917,0.000731855,0.0001073041,0.0001812442,0.000005587608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8616044,0.0006152997,0.09910362,0.000299444,0.0001095944,0.0001552188,0.0007683006,0.0006493563,0.03669484],"genre_scores_gemma":[0.9900957,0.0001561152,0.004676474,0.000019952,0.000006908023,0.00005361323,0.0001100836,0.00002858391,0.004852491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0112774,"threshold_uncertainty_score":0.02242351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01970890794361884,"score_gpt":0.2126002840522703,"score_spread":0.1928913761086515,"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."}}