{"id":"W1965406319","doi":"10.1057/palgrave.jors.2601450","title":"An optimal maintenance policy for skipping imminent preventive maintenance for systems experiencing random failures","year":2003,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Preventive maintenance; Planner; Operations research; Computer science; Operations management; Mean time between failures; Weibull distribution; Weighting; Reliability engineering; Economics; Failure rate; Mathematics; Statistics; Engineering","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":[0.002182842,0.0005062121,0.0006842962,0.0007019296,0.0003063628,0.0008033293,0.0009788652,0.000692063,0.001171821],"category_scores_gemma":[0.005724791,0.0003306567,0.0002521254,0.0002782314,0.0007333789,0.0008581669,0.0004156964,0.0005630876,0.000134064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197574,"about_ca_system_score_gemma":0.001197726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00333088,"about_ca_topic_score_gemma":0.002206815,"domain_scores_codex":[0.9992293,0.0002784006,0.0000426395,0.0001389154,0.0001492807,0.0001614498],"domain_scores_gemma":[0.9962603,0.002202594,0.0007654186,0.0001461454,0.0003812556,0.0002443028],"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":[0.0001985743,0.0001202589,0.001716187,0.00005973305,0.0000256868,0.0000937673,0.00005504914,0.9714329,0.003778058,0.009193079,0.0004316826,0.01289504],"study_design_scores_gemma":[0.00001836618,0.0001026191,0.0004177357,0.000006480039,0.00001085199,0.00001946116,0.00001952429,0.9963314,0.0007087157,0.002219904,0.0001378261,0.000007182251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.448586,0.0006097473,0.5461634,0.000545693,0.00005252907,0.0001456356,0.00008156473,0.0003526524,0.003462704],"genre_scores_gemma":[0.987708,0.00006408592,0.01168082,0.00002835925,0.000008002863,0.00001870343,0.0000127792,0.000009777309,0.0004694418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00333088,"threshold_uncertainty_score":0.01154411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02404259930271774,"score_gpt":0.3338758463127009,"score_spread":0.3098332470099832,"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."}}