{"id":"W2046467897","doi":"10.1016/j.ijsolstr.2011.06.003","title":"Shot peening and peen forming finite element modelling – Towards a quantitative method","year":2011,"lang":"en","type":"article","venue":"International Journal of Solids and Structures","topic":"Surface Treatment and Residual Stress","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; National Research Council Canada; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Shot peening; Finite element method; Materials science; Isotropy; Peening; Aluminium; Structural engineering; Forming processes; Sheet metal; Composite material; Engineering; Residual stress; Optics; Physics","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":[0.0009244992,0.0006598196,0.001037719,0.0007085304,0.0004112447,0.001509917,0.001895692,0.001859901,0.002442475],"category_scores_gemma":[0.001947988,0.0008724719,0.0005723232,0.0006200795,0.001543624,0.001624208,0.001199165,0.001173423,0.000610776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005139629,"about_ca_system_score_gemma":0.0008759167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002132339,"about_ca_topic_score_gemma":0.001935312,"domain_scores_codex":[0.9993647,0.0001548906,0.00002985702,0.00007241475,0.0003488125,0.00002927355],"domain_scores_gemma":[0.9994987,0.0001891516,0.0000493777,0.0001003749,0.0001438131,0.00001857015],"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":[0.00002649142,0.00005860755,0.0002737966,0.0001057097,0.00001464233,0.00002671621,0.0001017432,0.9183915,0.01322512,0.03759142,0.0002933965,0.0298909],"study_design_scores_gemma":[0.000004562187,0.00001943835,0.00009542485,0.000006737474,0.000003465348,0.00001435643,0.00001512219,0.9921206,0.001776385,0.004619279,0.00131845,0.000006174976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005599374,0.00007683384,0.9921046,0.0000430984,0.00001415467,0.00003263791,0.00002436539,0.0001891879,0.001915658],"genre_scores_gemma":[0.4764346,0.0005578728,0.5085061,0.0001048241,0.00004849247,0.0003067451,0.0002197423,0.00048586,0.01333578],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002442475,"threshold_uncertainty_score":0.008170903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06412790727970401,"score_gpt":0.317803194258675,"score_spread":0.253675286978971,"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."}}