{"id":"W2066074156","doi":"10.1109/tr.2015.2421819","title":"Periodic Inspection Optimization of a k-Out-of-n Load-Sharing System","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Reliability","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Load sharing; Interval (graph theory); Component (thermodynamics); Reliability engineering; Poisson distribution; Function (biology); Hazard; Process (computing); Moment (physics); Poisson process; Mathematical optimization; Interval arithmetic; Computer science; Mathematics; Engineering; Distributed computing; Statistics","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":[0.00152929,0.001059511,0.001816326,0.0005958374,0.0006622901,0.0009864734,0.00164792,0.001298588,0.003305943],"category_scores_gemma":[0.003205521,0.0007044493,0.0007491705,0.0006216641,0.0009542761,0.001097563,0.001062036,0.0006707774,0.0002577507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001377067,"about_ca_system_score_gemma":0.0009866247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01090549,"about_ca_topic_score_gemma":0.005446784,"domain_scores_codex":[0.9993591,0.0001838304,0.00002693768,0.0001537395,0.0001080287,0.0001683968],"domain_scores_gemma":[0.9985743,0.0006097897,0.0003643718,0.00007703617,0.0001880372,0.0001864451],"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":[0.000089387,0.00002779995,0.0005486289,0.0000299008,0.00001996722,0.0001460885,0.00003142465,0.9938983,0.0007887743,0.001770493,0.0001897808,0.002459442],"study_design_scores_gemma":[0.000008763232,0.00003021642,0.0002332156,0.000001783572,0.000007198099,0.00001656993,0.00001135114,0.9988033,0.0000849081,0.0007489741,0.00005038738,0.000003463924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5163028,0.0005950555,0.4740422,0.0005958253,0.0000751448,0.0001522165,0.0002311881,0.0003896538,0.007615984],"genre_scores_gemma":[0.9884382,0.00008394902,0.008879723,0.00002404228,0.00001239622,0.00004486736,0.00005666494,0.00002332183,0.002436913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01090549,"threshold_uncertainty_score":0.02168405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683839238325013,"score_gpt":0.2205046413844796,"score_spread":0.2036662490012295,"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."}}