{"id":"W1585910274","doi":"10.1002/9781118062142.ch37","title":"Application of Neutron Diffraction in Analysis of Residual Stress Profiles in the Cylinder Web Region of an as‐Cast V6 Al Engine Block with Cast‐In Fe Liners","year":2011,"lang":"en","type":"other","venue":"","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Booth University College; Toronto Metropolitan University; Atomic Energy (Canada); Canadian Nuclear Laboratories","funders":"Oak Ridge National Laboratory; AUTO21 Network of Centres of Excellence; Basic Energy Sciences; Office of Energy Efficiency; Natural Sciences and Engineering Research Council of Canada; Office of Energy Efficiency and Renewable Energy; U.S. Department of Energy","keywords":"Residual stress; Neutron diffraction; Materials science; Cast iron; Cylinder; Cylinder block; Block (permutation group theory); Stress (linguistics); Diffraction; Composite material; Metallurgy; Engineering; Physics; Mechanical engineering; Geometry; Optics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002567579,0.0001571188,0.0001770552,0.0005016333,0.0003421091,0.0002940107,0.0002840352,0.0002520473,0.000852297],"category_scores_gemma":[0.0002527591,0.0002053759,0.0001497684,0.0003806059,0.0002206432,0.0001948185,0.0001724852,0.0001693221,0.0001464655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003564993,"about_ca_system_score_gemma":0.0002678582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005166361,"about_ca_topic_score_gemma":0.0161796,"domain_scores_codex":[0.9998426,0.00001325268,0.000007086479,0.00002528207,0.00009819467,0.00001357571],"domain_scores_gemma":[0.9998177,0.0000402685,0.00002028794,0.00001611798,0.00009709064,0.000008626756],"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":[0.0002487784,0.00002338527,0.004301198,0.00006894354,0.000009396717,0.0001263314,0.0001484269,0.00153362,0.9820297,0.0002930859,0.0001706966,0.0110465],"study_design_scores_gemma":[0.000009458215,0.0001443796,0.06171415,0.00001556343,0.00001976317,0.0004522116,0.0002695696,0.01633196,0.9176022,0.00007803088,0.003347123,0.00001555767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791391,0.0005598048,0.01325208,0.00006908564,0.00002241279,0.00002324548,0.0003018962,0.00013781,0.006494578],"genre_scores_gemma":[0.9818139,0.0003127956,0.01305603,0.00001825881,0.000003920215,0.000008353593,0.0002233798,0.00002745524,0.004536011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005166361,"threshold_uncertainty_score":0.01027256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008639763210873041,"score_gpt":0.2142669374562808,"score_spread":0.2056271742454077,"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."}}