{"id":"W2095150328","doi":"10.1002/nav.20312","title":"Replacing nonidentical vital components to extend system life","year":2008,"lang":"en","type":"article","venue":"Naval Research Logistics (NRL)","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"U.S. National Library of Medicine; Agency for Healthcare Research and Quality; National Science Foundation","keywords":"Spare part; Component (thermodynamics); Counterintuitive; Computer science; Independent and identically distributed random variables; Scheduling (production processes); A priori and a posteriori; Mathematical optimization; Distributed computing; Mathematics; Random variable; Operations management; Statistics; Economics","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":[0.001240039,0.0001641813,0.0002633058,0.0002279051,0.0003044608,0.00009027982,0.0003260895,0.0001540525,0.00003100171],"category_scores_gemma":[0.003755273,0.0001610877,0.00006502886,0.0004822198,0.000240817,0.0001250475,0.0001783054,0.0005927511,0.0006609752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005055858,"about_ca_system_score_gemma":0.00009385221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001289241,"about_ca_topic_score_gemma":0.00001245644,"domain_scores_codex":[0.9973773,0.0001320063,0.000388779,0.0003596699,0.0009825598,0.0007597063],"domain_scores_gemma":[0.9981568,0.0004077255,0.00001977215,0.0004886923,0.0004537269,0.0004733123],"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":[0.0004387439,0.0003106436,0.002193308,0.001362905,0.0001319259,0.001090824,0.001184928,0.9003274,0.0181684,0.03178994,0.04118991,0.001811023],"study_design_scores_gemma":[0.0009999776,0.0003958152,0.006879481,0.0004320969,0.00002120074,0.0001680484,0.0006166766,0.9766331,0.003408512,0.0006719105,0.009124182,0.0006489448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3950366,0.0002331298,0.5675833,0.0003127741,0.001298555,0.001058721,0.00005722614,0.000752883,0.03366686],"genre_scores_gemma":[0.9941512,0.0001115512,0.004880042,0.00002446688,0.0002300059,0.0000410355,0.0000233537,0.00004313469,0.0004952211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5991146,"threshold_uncertainty_score":0.8495719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1468013988448786,"score_gpt":0.3308095670622263,"score_spread":0.1840081682173477,"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."}}