{"id":"W4414954840","doi":"10.1115/pvp2025-155838","title":"Creep Damage Assessment of Elevated Temperature Piping","year":2025,"lang":"en","type":"article","venue":"","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Piping; Creep; Stress (linguistics); Current (fluid); Sample (material); Volume fraction","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":[0.0004544154,0.0003691903,0.000373108,0.001040649,0.0002074109,0.0003231699,0.0004187657,0.0004831154,0.001048984],"category_scores_gemma":[0.001291315,0.0001465251,0.0002353574,0.0005511167,0.0003038169,0.0004706832,0.0004421827,0.0003252832,0.000185189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004624596,"about_ca_system_score_gemma":0.0002642668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001856942,"about_ca_topic_score_gemma":0.002132764,"domain_scores_codex":[0.9995691,0.00005900877,0.00002434507,0.00005255552,0.0002716781,0.00002330669],"domain_scores_gemma":[0.9991385,0.0002015435,0.000171858,0.0000917677,0.0003704031,0.00002584956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000519153,0.0001300141,0.03883106,0.0004478007,0.00007974463,0.0006035197,0.0003283925,0.4807721,0.3591626,0.001054948,0.0006263343,0.1174443],"study_design_scores_gemma":[0.00002504696,0.001081805,0.1015653,0.00006540208,0.00005877154,0.0005765418,0.0001983831,0.7159953,0.1775219,0.001221318,0.001630908,0.00005937173],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9282926,0.0007803937,0.06696709,0.00005066362,0.00001647147,0.00008652043,0.0002728335,0.0002547674,0.003278706],"genre_scores_gemma":[0.9943737,0.0001372225,0.004932951,0.00000610326,0.000002728097,0.00001146533,0.00008358592,0.000008045953,0.0004441807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001856942,"threshold_uncertainty_score":0.00369221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004495644560396097,"score_gpt":0.2431654203066292,"score_spread":0.2386697757462332,"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."}}