{"id":"W2801433404","doi":"10.1139/tcsme-2005-0001","title":"CORRELATION AND EXTRAPOLATION OF CREEP-RUPTURE DATA: A CASE STUDY USING 9Cr-1Mo STEEL DATA","year":2005,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"High Temperature Alloys and Creep","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Extrapolation; Creep; Parametric statistics; Experimental data; Test data; Stress (linguistics); Series (stratigraphy); Set (abstract data type); Structural engineering; Term (time); Computer science; Materials science; Mathematics; Engineering; Statistics; Geology; Physics; Metallurgy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002556827,0.0001309188,0.0001790328,0.00004529275,0.0001546298,0.00002149757,0.0003273585,0.0001431074,0.000009817898],"category_scores_gemma":[0.00001563242,0.0001238905,0.00009548175,0.0002150179,0.0000188608,0.0003381783,0.00001855575,0.0002386989,9.894949e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001095977,"about_ca_system_score_gemma":0.00007094776,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00550541,"about_ca_topic_score_gemma":0.05952301,"domain_scores_codex":[0.9992326,0.000008500475,0.0002636547,0.0001911499,0.0001197689,0.0001843413],"domain_scores_gemma":[0.9990668,0.00005887353,0.00003364819,0.0006827604,0.00003988626,0.0001180229],"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":[0.000004848011,0.00004646417,0.0000230453,0.0001855532,0.0004128176,0.000003413533,0.001583195,0.9812034,0.01245415,0.0004295065,0.0001872506,0.003466345],"study_design_scores_gemma":[0.0003406807,0.00002495871,0.00004577573,0.00003100145,0.0002385515,0.00007579463,0.0007162,0.9965068,0.0003856494,0.000005171409,0.001505467,0.0001239269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3183989,0.0005513999,0.6784201,0.0001180583,0.000361648,0.0007793198,0.001281561,0.00007765371,0.0000114351],"genre_scores_gemma":[0.9825233,0.00001172042,0.01729519,0.000013001,0.00006588703,0.000007100859,0.00003892864,0.00003202713,0.00001285561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6641244,"threshold_uncertainty_score":0.9576383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03198482331156805,"score_gpt":0.2461042177853054,"score_spread":0.2141193944737373,"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."}}