{"id":"W7108073982","doi":"10.1139/tcsme-2024-0223","title":"Prediction method of residual stress and deformation in belt grinding of thin-walled ring workpieces","year":2025,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chang'an University","keywords":"Residual stress; Finite element method; Deformation (meteorology); Rigidity (electromagnetism); Residual; Machining; Nonlinear system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001878628,0.00007618097,0.0001541562,0.0001017124,0.0000598774,0.000004474799,0.00008912553,0.00009860671,0.000001544268],"category_scores_gemma":[0.00003155691,0.00007622597,0.00009537796,0.0003132952,0.00001312874,0.0001241573,0.000004612553,0.0001419473,6.374399e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000118176,"about_ca_system_score_gemma":0.00004013161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001124625,"about_ca_topic_score_gemma":0.007375068,"domain_scores_codex":[0.9994559,0.000005290588,0.0002732569,0.00007377575,0.00006743475,0.0001244],"domain_scores_gemma":[0.999708,0.00009295889,0.0000399731,0.00008792501,0.00003719157,0.00003395408],"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":[0.000004223974,0.000004181443,0.00003627572,0.0007275378,0.0000539003,1.352195e-8,0.0003972605,0.9922556,0.001719852,0.003069994,0.000001719919,0.001729501],"study_design_scores_gemma":[0.0003244343,0.00001350942,0.0004063577,0.0004109752,0.00005328822,5.796742e-7,0.0003200651,0.9553863,0.04253942,0.0004699571,0.0000157877,0.00005929698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03197912,0.0001667615,0.9672661,0.00004907155,0.000163189,0.0002036073,0.0001045377,0.00003109309,0.00003651574],"genre_scores_gemma":[0.921095,0.00007197646,0.07878079,0.000003884091,0.000006474513,0.0000178522,0.000005546734,0.00001124876,0.000007282312],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8891158,"threshold_uncertainty_score":0.4115461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00770823309755963,"score_gpt":0.2231208724713476,"score_spread":0.215412639373788,"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."}}