{"id":"W4293053637","doi":"10.1142/s1793962323500162","title":"Residual stress investigation of ceramic-shot-peened flange pin with finite element analysis","year":2022,"lang":"en","type":"article","venue":"Advances in Complex Systems","topic":"Surface Treatment and Residual Stress","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Carleton University","funders":"","keywords":"Peening; Residual stress; Flange; Shot peening; Materials science; Finite element method; Curvature; Shot (pellet); Structural engineering; Composite material; Metallurgy; Geometry; 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":[0.0003239738,0.0004448355,0.0004623417,0.0005206689,0.0002192212,0.0003669518,0.0008718316,0.0008811313,0.001730364],"category_scores_gemma":[0.000584687,0.0003309668,0.0005220884,0.0003895547,0.0004408058,0.000436919,0.0003037257,0.0002665371,0.0002505455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002847649,"about_ca_system_score_gemma":0.0004862897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002603893,"about_ca_topic_score_gemma":0.002805155,"domain_scores_codex":[0.9997212,0.00002012746,0.00001610544,0.00004954871,0.0001628586,0.00003003754],"domain_scores_gemma":[0.999745,0.00008709988,0.00003228371,0.00003593508,0.00008824425,0.00001157068],"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":[0.0002406729,0.000151444,0.006628833,0.0005538473,0.00007439511,0.00056601,0.0006720318,0.5446867,0.3997003,0.002727565,0.0007154269,0.04328284],"study_design_scores_gemma":[0.00001101254,0.000224405,0.004549955,0.00001764724,0.000021282,0.000119002,0.0001270107,0.9354346,0.0580571,0.0003235851,0.001082821,0.00003165963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8442804,0.0003565764,0.150138,0.0001086077,0.00003127435,0.00007279698,0.0002602953,0.0005670935,0.00418498],"genre_scores_gemma":[0.982613,0.00009533615,0.01564191,0.000009880944,0.000002408381,0.00003813087,0.0001360787,0.00002048749,0.001442747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002603893,"threshold_uncertainty_score":0.005788624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0255119286150272,"score_gpt":0.249739612848342,"score_spread":0.2242276842333147,"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."}}