{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005563911,0.0005630997,0.000540244,0.0004114722,0.0001970024,0.0003618727,0.0007478541,0.0006581895,0.0005385826],"category_scores_gemma":[0.001120574,0.0003905004,0.000627218,0.0002331185,0.0003259867,0.0006386093,0.0002561873,0.0004910675,0.0001641972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003418017,"about_ca_system_score_gemma":0.0005907693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007149708,"about_ca_topic_score_gemma":0.003729502,"domain_scores_codex":[0.9997388,0.00003160657,0.00001752605,0.00008264902,0.00010628,0.00002310662],"domain_scores_gemma":[0.9995882,0.0001622298,0.0000759274,0.00004510543,0.0001086534,0.00001989723],"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":[0.00009500598,0.00005013645,0.003670798,0.00005990427,0.00002561406,0.00007924644,0.00008199907,0.9223081,0.02262801,0.0005123415,0.00018821,0.05030069],"study_design_scores_gemma":[0.000001993634,0.00001684287,0.0005668995,0.000001375472,0.000002343949,0.000005152462,0.000002908694,0.9975826,0.001734339,0.00005619139,0.00002532716,0.000004073151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2481509,0.0001927273,0.750187,0.00008258149,0.00001574359,0.00002815042,0.0000476675,0.0006650805,0.0006302155],"genre_scores_gemma":[0.973678,0.0001165862,0.02539742,0.00001327879,0.000005836615,0.0000275818,0.00006698202,0.00002797989,0.0006662671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007149708,"threshold_uncertainty_score":0.01421618,"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."}}