{"id":"W2076538716","doi":"10.1007/s11663-007-9050-5","title":"Simulating the Residual Stress in an A356 Automotive Wheel and Its Impact on Fatigue Life","year":2007,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions B","topic":"Metal Alloys Wear and Properties","field":"Materials Science","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Residual stress; Materials science; Service life; Stress (linguistics); Residual; Automotive industry; Vibration fatigue; Structural engineering; Composite material; Mechanics; Fatigue testing; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001189742,0.0001881956,0.0003115095,0.00006787003,0.0002673736,0.000270996,0.0001181718,0.00009266995,0.001598701],"category_scores_gemma":[0.00005449627,0.0001079881,0.00004032701,0.00009973477,0.0001208477,0.0003241584,0.00001668727,0.0001241588,0.00002141612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001371571,"about_ca_system_score_gemma":0.00002162946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004470263,"about_ca_topic_score_gemma":0.000308234,"domain_scores_codex":[0.9985111,0.0002785134,0.0003752552,0.0003132432,0.0002078672,0.0003140242],"domain_scores_gemma":[0.9993744,0.0002121279,0.00006458456,0.000134849,0.00004443247,0.0001695622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001228945,0.000398122,0.00004471318,0.0001184435,0.00005802771,0.00005218553,0.002842235,0.01823257,0.9744653,0.0008431621,0.00000548131,0.001710863],"study_design_scores_gemma":[0.001902974,0.001190971,0.05873871,0.0001810039,0.0001474598,0.00007236819,0.001318785,0.007360259,0.9275584,0.000487717,0.0003033409,0.0007380126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958613,0.0002120937,0.002987808,0.0001797195,0.0002119535,0.0002585709,0.00008130085,0.00005148182,0.0001557885],"genre_scores_gemma":[0.9993943,0.00005138848,0.000151481,0.0001070317,0.00009223256,0.00001449731,0.000006293365,0.00001468416,0.0001680904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.058694,"threshold_uncertainty_score":0.999314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04742438338611894,"score_gpt":0.3177549514229278,"score_spread":0.2703305680368088,"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."}}