{"id":"W9321275","doi":"10.1007/1-4020-4891-2_63","title":"Time-Variant Reliability Analysis for Series Systems With Log-Normal Vector Response","year":2007,"lang":"en","type":"book-chapter","venue":"Solid mechanics and its applications","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Series (stratigraphy); Reliability (semiconductor); Computer science; Reliability engineering; Engineering; Biology; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003865556,0.0003495665,0.0007540326,0.0004600117,0.0003317316,0.0001863852,0.0004880059,0.0003836869,0.000115096],"category_scores_gemma":[0.0005639832,0.0002521191,0.00020705,0.0004042354,0.00006443385,0.0001168898,0.0001040516,0.000225816,0.00008659129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008484675,"about_ca_system_score_gemma":0.0002198526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003156403,"about_ca_topic_score_gemma":0.000005919953,"domain_scores_codex":[0.9972968,0.00004561047,0.0008066912,0.0008782928,0.0006602899,0.000312365],"domain_scores_gemma":[0.9957869,0.001582717,0.0004246736,0.001050415,0.0009301949,0.0002251238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003977338,0.00002836943,3.020908e-7,0.00005110991,0.0003116028,0.00000379856,0.00006599064,0.01871061,0.0000886349,0.9792722,0.0007352605,0.0003343519],"study_design_scores_gemma":[0.000379384,0.000487743,0.00001674334,0.00007064285,0.001349547,0.00005703678,0.00009157228,0.247403,0.00004888692,0.1118697,0.6374112,0.0008145947],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00002255361,0.0007278731,0.9910309,0.0002271923,0.0001103362,0.001738864,0.0008139959,0.00008881679,0.005239451],"genre_scores_gemma":[0.05166693,0.0003219971,0.03384902,0.0001417491,0.0006681958,0.001710481,0.0003685244,0.0002132822,0.9110598],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9571819,"threshold_uncertainty_score":0.9999931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0560302646246323,"score_gpt":0.300217721130275,"score_spread":0.2441874565056427,"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."}}