{"id":"W2790949874","doi":"10.1016/j.proeng.2018.02.005","title":"Modeling and simulation of weld residual stresses and ultrasonic impact treatment of welded joints","year":2018,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Surface Treatment and Residual Stress","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Welding; Residual stress; Materials science; Ultimate tensile strength; Finite element method; Computer simulation; Structural engineering; Stress (linguistics); Fatigue limit; Butt joint; Composite material; Metallurgy; 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":[0.00002908875,0.0001680828,0.0002236131,0.00009458721,0.00002155093,0.00001115503,0.00003000594,0.00006287509,0.00001081987],"category_scores_gemma":[0.00002843963,0.0001375193,0.00002854889,0.00009357483,0.00002657985,0.0001006633,0.000009961696,0.00003283776,5.983816e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003372164,"about_ca_system_score_gemma":0.000009304301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000468796,"about_ca_topic_score_gemma":0.00001398772,"domain_scores_codex":[0.9994285,0.000003510765,0.0001889875,0.0001213431,0.00009081925,0.0001668387],"domain_scores_gemma":[0.9997092,0.00008141338,0.00002290004,0.00008601816,0.00004064737,0.00005978282],"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":[0.00001908638,0.00002132272,0.006508957,0.0001870785,0.0001082409,8.216756e-7,0.0008118983,0.9775534,0.01252589,0.000005118496,0.000001430177,0.002256727],"study_design_scores_gemma":[0.0005059037,0.000244128,0.005323515,0.00009976518,0.00004668269,0.000002609073,0.00006599695,0.879552,0.1140181,0.00001273769,0.000005520447,0.0001230674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954992,0.002882279,0.00124784,0.000003581874,0.0000589578,0.0001377639,0.00001614112,0.00009362802,0.0000606416],"genre_scores_gemma":[0.9983442,0.0007160988,0.0008216626,2.404003e-7,0.00007395342,0.00000665891,0.000005400857,0.00002621218,0.000005598856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1014922,"threshold_uncertainty_score":0.5607875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148142343100477,"score_gpt":0.2492580220290447,"score_spread":0.234443787718997,"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."}}