{"id":"W3093631795","doi":"10.1080/00207543.2020.1832275","title":"Maintenance policies with minimal repair and replacement on failures: analysis and comparison","year":2020,"lang":"en","type":"article","venue":"International Journal of Production Research","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reliability engineering; Preventive maintenance; Corrective maintenance; Weibull distribution; Function (biology); Maintenance actions; Component (thermodynamics); Condition-based maintenance; Sensitivity (control systems); Operations research; Maintenance engineering; Computer science; Engineering; Risk analysis (engineering); Mathematics; Business; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002325922,0.0005123201,0.0009926131,0.001449439,0.000207043,0.0006116428,0.0008317434,0.0007796765,0.001416146],"category_scores_gemma":[0.009653563,0.0001621285,0.0005450654,0.0006678476,0.000326246,0.0007112995,0.0004055833,0.000361294,0.000106658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110821,"about_ca_system_score_gemma":0.0008463943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00204554,"about_ca_topic_score_gemma":0.0009241941,"domain_scores_codex":[0.999122,0.0003303858,0.000040954,0.00008195337,0.0002853705,0.0001393703],"domain_scores_gemma":[0.9916562,0.006968962,0.0005568782,0.0002665492,0.0004294589,0.0001219167],"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":[0.0006553533,0.0002084683,0.001919921,0.0002780968,0.00007232923,0.00004674694,0.00004555039,0.9345909,0.001789226,0.00844088,0.0004824311,0.05147007],"study_design_scores_gemma":[0.00003389947,0.0005256988,0.003094076,0.00002597852,0.00006393211,0.0000696838,0.00003133978,0.9919873,0.0009085207,0.002799376,0.0004493497,0.00001076961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7089199,0.008276233,0.2719375,0.0003567855,0.00009030469,0.0002557175,0.0002671193,0.0003776043,0.009518757],"genre_scores_gemma":[0.9868515,0.0007837254,0.01159735,0.00001697801,0.00002474912,0.00005723802,0.00007267105,0.00001717888,0.0005785468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002325922,"threshold_uncertainty_score":0.01230079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04236819338401998,"score_gpt":0.3376296996380919,"score_spread":0.2952615062540719,"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."}}