{"id":"W71450748","doi":"10.1007/978-0-85729-215-5_5","title":"Optimal Schedules of Two Periodic Imperfect Preventive Maintenance Policies and Their Comparison","year":2011,"lang":"en","type":"book-chapter","venue":"Springer series in reliability engineering","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Imperfect; Schedule; Unit (ring theory); Action (physics); Preventive maintenance; Mathematical optimization; Computer science; Mathematics; Reliability engineering; Engineering; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005032469,0.000680791,0.001067709,0.0002954018,0.00004332191,0.00003966986,0.0003028685,0.0003892039,0.00006394432],"category_scores_gemma":[0.0001568391,0.0006638768,0.0002045401,0.0001042439,0.0003975861,0.0003365063,0.0002190886,0.0007778174,0.000004624245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002601639,"about_ca_system_score_gemma":0.00004104912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006377756,"about_ca_topic_score_gemma":0.00005057523,"domain_scores_codex":[0.9978637,0.00002189788,0.0009120572,0.0005343349,0.0001664466,0.0005016353],"domain_scores_gemma":[0.9987929,0.0001137391,0.0001544521,0.0006988599,0.0001338564,0.0001062095],"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":[0.00007527455,0.00004039807,0.001514477,0.002502817,0.0001414654,0.000003734654,0.002771364,0.9224301,0.0008997265,0.06797349,0.00002683892,0.001620346],"study_design_scores_gemma":[0.004362644,0.001564509,0.01559114,0.01547521,0.0004846224,0.0001092478,0.001647405,0.7813032,0.0620141,0.03867975,0.06985204,0.008916099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7992733,0.01366685,0.09854699,0.0001213295,0.003624718,0.003514166,0.0003263266,0.001744202,0.07918207],"genre_scores_gemma":[0.9712031,0.004008903,0.02082189,0.000005218201,0.0001071764,0.00008590306,0.00002552969,0.0002209673,0.003521306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1719298,"threshold_uncertainty_score":0.9995812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008136437167440927,"score_gpt":0.2052332785097276,"score_spread":0.1970968413422867,"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."}}