{"id":"W4406627786","doi":"10.1080/09617353.2024.2441545","title":"Availability-based maintenance prioritization for data centres: a dynamic programming approach","year":2025,"lang":"en","type":"article","venue":"Safety and Reliability","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Prioritization; Computer science; Dynamic programming; Reliability engineering; Operations research; Engineering; Management science; Algorithm","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":[0.00164118,0.001318546,0.001432261,0.001145122,0.0005227659,0.001930924,0.001804864,0.001746376,0.004141619],"category_scores_gemma":[0.00335492,0.001266671,0.001081418,0.0009672527,0.0008705677,0.001221047,0.001257996,0.00199788,0.0003238821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002060676,"about_ca_system_score_gemma":0.002482496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01374772,"about_ca_topic_score_gemma":0.01116744,"domain_scores_codex":[0.9992834,0.0002745552,0.00002476071,0.0001325273,0.0001366275,0.0001480948],"domain_scores_gemma":[0.9982771,0.001271569,0.0001509633,0.00002564041,0.0001769901,0.00009777927],"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":[0.00001498443,0.00001949011,0.0001123286,0.00002918452,0.00001088921,0.00002505584,0.00001536841,0.9932408,0.0001743551,0.003031044,0.0002364046,0.003090193],"study_design_scores_gemma":[0.000004866683,0.00001376807,0.00004351321,0.000006077353,0.000005415639,0.000006408718,0.00001040486,0.9977416,0.00006658895,0.001861446,0.0002367024,0.000003148532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02126685,0.0005138819,0.9684995,0.0007425866,0.00007158183,0.00014919,0.0001827713,0.0001608821,0.008412667],"genre_scores_gemma":[0.757677,0.0009809973,0.2293515,0.0003071273,0.0001170671,0.0005511736,0.0003112878,0.0001489304,0.01055487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01374772,"threshold_uncertainty_score":0.02733541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007298120864131907,"score_gpt":0.2339321671621728,"score_spread":0.2266340462980409,"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."}}