{"id":"W2095998951","doi":"10.1109/ccece.2002.1015190","title":"Application of wellbeing concepts in short term generating unit preventive maintenance scheduling","year":2003,"lang":"en","type":"article","venue":"","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Unavailability; Preventive maintenance; Reliability engineering; Scheduling (production processes); Computer science; Probabilistic logic; Maintenance engineering; Electric power system; Economic shortage; Power system simulation; Dependability; Operations research; Engineering; Power (physics); Operations management","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":[0.002969389,0.0006295656,0.000457353,0.0009337292,0.0004199084,0.0008880317,0.0009066664,0.0005936581,0.002117399],"category_scores_gemma":[0.006570614,0.0003604864,0.0006858253,0.0009046333,0.001483575,0.00166705,0.001408169,0.00123754,0.0003431478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000842436,"about_ca_system_score_gemma":0.0008367689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007648552,"about_ca_topic_score_gemma":0.0005878931,"domain_scores_codex":[0.9991998,0.0003202715,0.00003910769,0.00009927653,0.0002618254,0.000079793],"domain_scores_gemma":[0.9965054,0.002024859,0.0006821818,0.0002686331,0.000362442,0.0001564774],"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":[0.0002115473,0.00008862797,0.003369037,0.000121749,0.00005604097,0.0002936509,0.0004257954,0.4488159,0.01082442,0.3929307,0.001042197,0.1418203],"study_design_scores_gemma":[0.0000471374,0.0004820678,0.002570442,0.00004634606,0.00005227357,0.0003078864,0.0001495577,0.7933578,0.007313021,0.1874882,0.008132102,0.00005314859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0124172,0.0002986574,0.9850697,0.0002557308,0.00003829006,0.00003508406,0.00002045019,0.00007549139,0.001789432],"genre_scores_gemma":[0.739751,0.001395487,0.2544976,0.0002843949,0.0002129309,0.0002948816,0.00009464067,0.00009411898,0.003374966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002969389,"threshold_uncertainty_score":0.0157038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008426232192946512,"score_gpt":0.2421945530512053,"score_spread":0.2337683208582588,"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."}}