{"id":"W1840881278","doi":"10.1111/j.1460-2695.2010.01490.x","title":"Neutron diffraction measurements of residual stresses around a crack tip developed under variable‐amplitude fatigue loadings","year":2010,"lang":"en","type":"article","venue":"Fatigue & Fracture of Engineering Materials & Structures","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Division of Materials Research; National Science Foundation","keywords":"Residual stress; Materials science; Crack closure; Amplitude; Neutron diffraction; Structural engineering; Scanning electron microscope; Diffraction; Crack tip opening displacement; Composite material; Tension (geology); Residual; Compact tension specimen; Fracture mechanics; Stress concentration; Stress intensity factor; Transverse plane; Crack growth resistance curve; Optics; Ultimate tensile strength; Mathematics; Physics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003615837,0.0007098541,0.0009312909,0.0003332079,0.00009652929,0.0001292483,0.0005308558,0.0005956416,0.0004607802],"category_scores_gemma":[0.0003117642,0.0006583111,0.0001100149,0.0003299042,0.00006684061,0.0004581042,0.00007365638,0.0006577469,0.000003528866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007881835,"about_ca_system_score_gemma":0.00007189121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002107161,"about_ca_topic_score_gemma":0.00004250679,"domain_scores_codex":[0.9971597,0.00004952107,0.001052898,0.0004585517,0.0006603703,0.0006189797],"domain_scores_gemma":[0.9982558,0.0002026192,0.0004026441,0.0006963857,0.0002751629,0.0001674166],"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":[0.00005240049,0.00003077589,0.0002177951,0.0007036732,0.0002293684,0.000002294351,0.0002372702,0.1805761,0.8162947,0.001100275,0.0003476977,0.0002077184],"study_design_scores_gemma":[0.0006475456,0.00007239426,0.05592254,0.000263245,0.0001469983,0.00001489121,0.00005273998,0.0006100008,0.9392043,0.001157807,0.001234058,0.0006734321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550787,0.0002914066,0.03972718,0.0000511936,0.003651224,0.0004859019,0.0001652896,0.0003685888,0.0001804749],"genre_scores_gemma":[0.9778555,0.00003845005,0.02113154,0.000041874,0.0005258136,0.00003287752,0.0002033699,0.0001607373,0.000009808188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1799661,"threshold_uncertainty_score":0.9995868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02688919842736387,"score_gpt":0.2491505947088213,"score_spread":0.2222613962814574,"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."}}