{"id":"W4407624798","doi":"10.1115/1.4067959","title":"Computational Prediction of Total Fatigue Life With an Integrated Approach","year":2025,"lang":"en","type":"article","venue":"Journal of Engineering Materials and Technology","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Carleton University","funders":"","keywords":"Materials science; Superalloy; Nucleation; Microstructure; Lüders band; Grain boundary; Structural engineering; Plasticity; Crystallite; Slip (aerodynamics); Representative elementary volume; Metallurgy; Composite material; Engineering; Thermodynamics","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":[0.0002656446,0.0004361706,0.0005269545,0.000552222,0.0002123378,0.0005159361,0.0007732011,0.0007625689,0.001260403],"category_scores_gemma":[0.0009469854,0.0003911514,0.0004671555,0.0003797111,0.0003249163,0.0005813548,0.0004760217,0.000430078,0.0002276976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005609978,"about_ca_system_score_gemma":0.0005986097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00691639,"about_ca_topic_score_gemma":0.005683808,"domain_scores_codex":[0.9998604,0.00002947626,0.000006227067,0.00002901053,0.00005656547,0.00001827157],"domain_scores_gemma":[0.9997661,0.00009566526,0.00002473612,0.0000294542,0.00007219403,0.00001182013],"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":[0.00001348268,0.00002746185,0.0005709886,0.0000117924,0.0000101236,0.00001819887,0.00001304088,0.988745,0.002140281,0.00127624,0.00006849887,0.007104869],"study_design_scores_gemma":[5.286648e-7,0.00000360854,0.00004778421,4.791087e-7,6.55572e-7,0.000001287941,8.111293e-7,0.9997122,0.0001202125,0.00007681602,0.00003499523,5.700719e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.217655,0.0002356761,0.7721907,0.00009688395,0.00002544797,0.00006017969,0.0001968461,0.0006909213,0.008848343],"genre_scores_gemma":[0.9163482,0.0001190581,0.08131419,0.00002578577,0.00001626881,0.0001197331,0.000142809,0.00009129252,0.001822676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00691639,"threshold_uncertainty_score":0.01375228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006477396200697511,"score_gpt":0.1888895488829448,"score_spread":0.1824121526822473,"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."}}