{"id":"W4225129498","doi":"10.1016/j.matpr.2022.04.558","title":"Modeling residual stresses in hard turning with self-propelled rotary tools","year":2022,"lang":"en","type":"article","venue":"Materials Today Proceedings","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"National Plan for Science, Technology and Innovation; King Abdulaziz City for Science and Technology","keywords":"Residual stress; Materials science; Residual; Finite element method; Displacement (psychology); Mechanics; Structural engineering; Mechanical engineering; Composite material; Engineering; Mathematics; Physics; Algorithm","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":[0.0002895324,0.00047882,0.0005566632,0.0004644945,0.0003270232,0.0008640799,0.0009835557,0.001075038,0.001370733],"category_scores_gemma":[0.0008705254,0.0004980787,0.000605177,0.0002673479,0.0007364874,0.0004020592,0.0003793842,0.0004413177,0.0001502846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005196594,"about_ca_system_score_gemma":0.0008360469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01237474,"about_ca_topic_score_gemma":0.01106751,"domain_scores_codex":[0.9998614,0.00002128779,0.000004895387,0.00001935966,0.00004858475,0.00004446193],"domain_scores_gemma":[0.9996489,0.0001760237,0.00004817354,0.00002829314,0.00006571443,0.0000329563],"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":[0.00003897117,0.00002659098,0.0004131218,0.00001478426,0.000007343795,0.00005142026,0.00002083278,0.9950367,0.001741056,0.0007687928,0.00005889889,0.001821481],"study_design_scores_gemma":[0.000005574256,0.00001933679,0.000198721,0.000001861051,0.000002535209,0.000005800711,0.000008865017,0.9991548,0.0003600795,0.0001690755,0.00007041391,0.000002904799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.895034,0.0004707033,0.09165118,0.0001484016,0.00007638222,0.00004630206,0.00009706942,0.000288856,0.01218702],"genre_scores_gemma":[0.9953247,0.00006038641,0.003042678,0.000008386185,0.000004877574,0.00001053006,0.00002630209,0.00003078618,0.001491329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01237474,"threshold_uncertainty_score":0.02460539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118540698002004,"score_gpt":0.1977251612688842,"score_spread":0.1865397542888642,"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."}}