{"id":"W4400811182","doi":"10.1115/1.4066033","title":"Effect of Shear Localization on Surface Residual Stress Distribution in Machining of Waspaloy","year":2024,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Ontario Ministry of Research, Innovation and Science","keywords":"Machining; Residual stress; Shear stress; Shear (geology); Materials science; Surface (topology); Residual; Geology; Metallurgy; Composite material; Geometry; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007739147,0.00009269664,0.0001707441,0.0002199511,0.00002384228,0.00003290587,0.00009274172,0.00003311416,0.000001196104],"category_scores_gemma":[0.0001174813,0.00007705992,0.00002195827,0.0002723513,0.00003460624,0.0004547481,0.00001598663,0.0001768386,1.199858e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007325497,"about_ca_system_score_gemma":0.0000181487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000478961,"about_ca_topic_score_gemma":4.425663e-7,"domain_scores_codex":[0.9992168,0.000008531254,0.0002865952,0.00008633248,0.0002694824,0.0001322827],"domain_scores_gemma":[0.9996938,0.000123834,0.00005239058,0.00005360685,0.00003744288,0.00003895655],"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":[0.00001570175,0.000003558871,0.0002339269,0.0007560906,0.000005789366,0.000005106441,0.0002237943,0.9878702,0.003125774,0.00005157987,0.000002905012,0.007705561],"study_design_scores_gemma":[0.0001472713,0.0001770043,0.002024058,0.001073379,0.00001004029,0.00001056493,0.0000243798,0.5904758,0.4059438,0.00001409431,0.0000318136,0.00006777922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9016646,0.0005750963,0.09741582,0.000008012657,0.0002459453,0.00003688058,0.000004321145,0.00002502148,0.00002434492],"genre_scores_gemma":[0.999047,0.0002162061,0.0006922791,8.844503e-7,0.00002940285,3.291686e-7,0.000001638754,0.00001102659,0.000001204697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4028181,"threshold_uncertainty_score":0.3142412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003246423213663085,"score_gpt":0.2253757705292988,"score_spread":0.2221293473156357,"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."}}