{"id":"W4415042415","doi":"10.3850/978-981-94-3281-3_esrel-sra-e2025-p6336-cd","title":"Tracking Reliability and Updating the Overhaul Interval of Engineering Components: Bayesian Approach","year":2025,"lang":"en","type":"article","venue":"","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University Network of Excellence in Nuclear Engineering","keywords":"Interval (graph theory); Reliability (semiconductor); Tracking (education); Bayesian probability; Interval arithmetic; Interval estimation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004783094,0.001184677,0.002694274,0.00204515,0.0006159862,0.002097513,0.002593928,0.002195399,0.001831798],"category_scores_gemma":[0.02104892,0.001902845,0.001203882,0.001856519,0.001510315,0.003808516,0.001429685,0.002601589,0.0003667414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620547,"about_ca_system_score_gemma":0.001399148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01273569,"about_ca_topic_score_gemma":0.01050739,"domain_scores_codex":[0.9986869,0.0004553303,0.00006505405,0.0003577663,0.0003044958,0.0001304972],"domain_scores_gemma":[0.9907519,0.007195564,0.0007184596,0.0003810261,0.0007982326,0.0001548212],"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":[0.00006353517,0.00003248713,0.000739146,0.0000547426,0.00006299494,0.00002460022,0.00004972372,0.95922,0.0004332018,0.01698562,0.0004515304,0.02188232],"study_design_scores_gemma":[0.000005688853,0.000009661675,0.0001851236,0.0000100065,0.00001288535,0.000009536007,0.000003882818,0.9898643,0.0001060403,0.009649061,0.0001352678,0.00000849843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01354096,0.0004647334,0.9845664,0.0002303545,0.00003071563,0.00001846251,0.00006556067,0.0001052942,0.0009774819],"genre_scores_gemma":[0.7767909,0.001599855,0.2142915,0.0002802733,0.0003034877,0.0002003747,0.0004238356,0.0001715328,0.005938248],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01273569,"threshold_uncertainty_score":0.02532315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006391451037670458,"score_gpt":0.1973547199702028,"score_spread":0.1909632689325323,"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."}}