{"id":"W4391424882","doi":"10.1007/978-3-031-35471-7_11","title":"Time-Dependent Reliability Analysis of Degrading Structural Elements Using Stochastic FE and LSTM Learning","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Reliability (semiconductor); Artificial intelligence; Computer science; Physics; 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":[0.0006050089,0.0006068404,0.0005273065,0.0005669076,0.0001589017,0.0003985589,0.0007308477,0.0007352785,0.001205069],"category_scores_gemma":[0.002085704,0.0004057904,0.0006187494,0.0004069677,0.0003916959,0.0007581547,0.0003966982,0.0006030084,0.0002200211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006341841,"about_ca_system_score_gemma":0.0004379717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004706846,"about_ca_topic_score_gemma":0.006466286,"domain_scores_codex":[0.9998523,0.00003273748,0.000007832993,0.0000374927,0.00005108869,0.00001848299],"domain_scores_gemma":[0.9989617,0.0007038603,0.00009483013,0.00006098462,0.0001613509,0.00001727855],"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":[0.00002269064,0.00001061783,0.0003000828,0.00002398645,0.00001337013,0.00002619255,0.00001101881,0.9793208,0.002040237,0.0008849897,0.000144501,0.01720149],"study_design_scores_gemma":[2.698694e-7,0.000002820325,0.00009021369,9.864732e-7,0.000001328777,0.000004037853,9.021618e-7,0.9993674,0.0001781395,0.0003370424,0.0000160324,8.398766e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1017739,0.0004464709,0.8952049,0.0001350661,0.00002600632,0.00002115148,0.0001225015,0.00057135,0.00169877],"genre_scores_gemma":[0.9472238,0.0001900913,0.05043524,0.00002934093,0.00002200535,0.00003114515,0.0001890973,0.0000763005,0.001802976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004706846,"threshold_uncertainty_score":0.009358943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03133170269470598,"score_gpt":0.2852206287534363,"score_spread":0.2538889260587304,"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."}}