{"id":"W4406727740","doi":"10.1016/j.nucengdes.2025.113864","title":"Fragility analysis of APR-1400 nuclear containment structures under internal pressure","year":2025,"lang":"en","type":"article","venue":"Nuclear Engineering and Design","topic":"Structural Response to Dynamic Loads","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Korea Institute of Energy Technology Evaluation and Planning; Ministry of Trade, Industry and Energy","keywords":"Containment (computer programming); Fragility; Internal pressure; Forensic engineering; Pressure vessel; Nuclear engineering; Structural engineering; Materials science; Engineering; Physics; Computer science; Composite material; 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":[0.0003264112,0.000389397,0.0003570983,0.00127183,0.0006170774,0.0004767778,0.0006089758,0.000877613,0.003208437],"category_scores_gemma":[0.0009859994,0.0002911704,0.0004736549,0.0005095704,0.0007403747,0.000405749,0.0003333897,0.0004942785,0.0003761499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008793577,"about_ca_system_score_gemma":0.000553267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007013436,"about_ca_topic_score_gemma":0.005668075,"domain_scores_codex":[0.9998154,0.00002704911,0.000003723208,0.00001843228,0.00008031511,0.00005506816],"domain_scores_gemma":[0.999499,0.0002478057,0.00006569768,0.00002956035,0.0001187672,0.00003917567],"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":[0.0004790151,0.0001116169,0.00708416,0.00005306015,0.00003497162,0.0005385188,0.0001483272,0.9264515,0.05061002,0.003938972,0.0006876917,0.009862202],"study_design_scores_gemma":[0.00001075478,0.0001805129,0.01405094,0.000008867748,0.00001463039,0.0000919766,0.0001212396,0.9754057,0.009042521,0.0008262684,0.0002289587,0.00001762982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839094,0.00005724098,0.006205713,0.00007925031,0.00000911598,0.00001359337,0.0002008958,0.00008645307,0.009438348],"genre_scores_gemma":[0.9984485,0.00001532257,0.0004268075,0.000005799054,0.000001673498,0.000006269448,0.00007113086,0.000008691508,0.001015719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007013436,"threshold_uncertainty_score":0.01394522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005351794525096381,"score_gpt":0.2014988665723767,"score_spread":0.1961470720472803,"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."}}