{"id":"W4392242141","doi":"10.1142/s0218539324500074","title":"Time-Variant Reliability for Systems with Non-monotonic Limit-State Functions","year":2024,"lang":"en","type":"article","venue":"International Journal of Reliability Quality and Safety Engineering","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Monotonic function; Reliability (semiconductor); Limit (mathematics); Reliability engineering; Limit state design; State (computer science); Computer science; Mathematics; Engineering; Structural engineering; Physics; Algorithm; Mathematical analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.0107419,0.0002281357,0.0005202207,0.0003249705,0.00008623514,0.0004322687,0.0005965698,0.0001195958,0.00002789661],"category_scores_gemma":[0.006405293,0.0001543588,0.0002538469,0.0003333471,0.0001248563,0.0005892593,0.00008253335,0.0004422691,0.00001797972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002923561,"about_ca_system_score_gemma":0.0002984196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002798743,"about_ca_topic_score_gemma":0.000002302391,"domain_scores_codex":[0.9963105,0.0001147244,0.001617459,0.0004603376,0.001246813,0.0002501771],"domain_scores_gemma":[0.9911964,0.006328434,0.0002842071,0.0003991533,0.001591199,0.0002005948],"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":[0.0004815904,0.00007161438,0.0001873185,0.0001969407,0.000199965,0.0000341955,0.00037818,0.9903513,0.0002605049,0.003743126,0.0005805463,0.003514729],"study_design_scores_gemma":[0.0008492194,0.0003413242,0.00535345,0.0005735119,0.00007148016,0.0003684453,0.0002049716,0.9437822,0.00005214476,0.006228185,0.04183091,0.0003441282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07388855,0.00059783,0.9194666,0.002545678,0.002802006,0.0003420462,0.0001421266,0.00007379212,0.0001413668],"genre_scores_gemma":[0.9864279,0.0001190513,0.01192951,0.00003299581,0.0004092833,0.00002300295,0.00000691988,0.00002774473,0.001023574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9125394,"threshold_uncertainty_score":0.7668196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03852672259165902,"score_gpt":0.3244799068469326,"score_spread":0.2859531842552736,"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."}}