{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009866439,0.00008926633,0.000228067,0.0003345364,0.0000116013,0.00001339431,0.00005937135,0.0001166735,0.000004809985],"category_scores_gemma":[0.00002972472,0.00006959535,0.00001193886,0.0002079919,0.00002001906,0.00008682704,0.00001030475,0.0001236976,6.105568e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001369409,"about_ca_system_score_gemma":0.00002261526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001472,"about_ca_topic_score_gemma":9.367034e-8,"domain_scores_codex":[0.9995265,0.000005387274,0.0002757619,0.00005316218,0.00006025091,0.00007893517],"domain_scores_gemma":[0.9997396,0.00001294129,0.00006288323,0.00006232309,0.00009531376,0.00002690022],"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":[0.00004036918,0.00005264303,0.00017807,0.0003625321,0.0002537104,0.00000661175,0.00006993282,0.7275497,0.2597808,0.009690281,0.0001026391,0.0019127],"study_design_scores_gemma":[0.002394094,0.001525683,0.005328802,0.0007360393,0.0001930043,0.0005256191,0.0004370712,0.6393604,0.3462759,0.002124659,0.0007209103,0.0003778111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6755844,0.0001759471,0.3238446,0.00002766014,0.0002359042,0.00003821194,0.00001171897,0.00006321075,0.00001838328],"genre_scores_gemma":[0.9742854,0.0000258279,0.02563421,0.000003245209,0.00002845062,0.000002264648,0.000008200001,0.00001041157,0.00000200704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.298701,"threshold_uncertainty_score":0.2838016,"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."}}