{"id":"W949459804","doi":"10.1520/stp34907s","title":"Application of Fracture Mechanics to Damage Accumulation in High Temperature Fatigue","year":2009,"lang":"en","type":"book-chapter","venue":"ASTM International eBooks","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Procter & Gamble (Canada)","funders":"","keywords":"Damage mechanics; Materials science; Fracture mechanics; Fracture (geology); Fatigue testing; Mechanics; Structural engineering; Composite material; Physics; Engineering; Finite element method","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":[0.0002664781,0.0006052194,0.0005610772,0.0009675666,0.0003933372,0.0007767366,0.001140501,0.001000861,0.006192476],"category_scores_gemma":[0.0005126751,0.000538714,0.0007008911,0.0009235206,0.0008331783,0.001074686,0.0005849143,0.00147725,0.001085134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005719668,"about_ca_system_score_gemma":0.000351213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001400113,"about_ca_topic_score_gemma":0.002348956,"domain_scores_codex":[0.9998455,0.00001354995,0.00000592385,0.00002207119,0.0001043171,0.000008544772],"domain_scores_gemma":[0.9998446,0.00007906313,0.0000104756,0.00001669501,0.00004481519,0.000004415186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004261179,0.0001445881,0.0006863838,0.0008488226,0.00006100912,0.0006591072,0.0004791596,0.1074846,0.0482307,0.3785905,0.0245538,0.4382187],"study_design_scores_gemma":[0.00001636943,0.0001478228,0.003635064,0.0003341359,0.00004092195,0.00182378,0.0001662176,0.3400179,0.02312331,0.4656866,0.1649127,0.00009513569],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01699289,0.05756142,0.8096689,0.001366114,0.001443799,0.00007034356,0.0001762157,0.0005359025,0.1121844],"genre_scores_gemma":[0.4153362,0.08752196,0.2220357,0.0005660216,0.001760878,0.0001822385,0.0002888552,0.0006434505,0.2716648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006192476,"threshold_uncertainty_score":0.02071589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01501008855558299,"score_gpt":0.2490423716984502,"score_spread":0.2340322831428672,"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."}}