{"id":"W2966114666","doi":"10.1109/rams.2019.8769273","title":"Maintenance Effectiveness Estimation with Applications to Railway Industry","year":2019,"lang":"en","type":"article","venue":"","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Estimation; Computer science; Maintenance engineering; Reliability engineering; Engineering; Systems 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":[0.002839684,0.0005604615,0.0007441179,0.001423424,0.0001724855,0.0005042895,0.0008479971,0.0007103582,0.001829038],"category_scores_gemma":[0.01405731,0.0003152472,0.0005970756,0.001096305,0.0003306803,0.0004629481,0.0005936332,0.0005747204,0.0001703374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00066454,"about_ca_system_score_gemma":0.0006997635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005386008,"about_ca_topic_score_gemma":0.003580556,"domain_scores_codex":[0.9989422,0.0006349102,0.0000421324,0.0001546967,0.0001856765,0.00004038535],"domain_scores_gemma":[0.9941173,0.004758147,0.0004169109,0.0002475996,0.0004097944,0.00005028618],"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":[0.00006242667,0.00006579355,0.008283921,0.0001184178,0.0001250689,0.00006462746,0.00006085449,0.8563204,0.001284318,0.009855444,0.0006137306,0.1231449],"study_design_scores_gemma":[0.000007736357,0.00003403183,0.003027365,0.000009497931,0.00001754453,0.00002432904,0.00001165517,0.9913378,0.0004022951,0.00462021,0.0004993732,0.000008167156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0313522,0.000463277,0.9668151,0.0001817937,0.000009087345,0.00004227804,0.0001105619,0.0001964006,0.0008292897],"genre_scores_gemma":[0.7553576,0.0007240061,0.240621,0.00005971006,0.00008173307,0.0001606671,0.0004771773,0.00006728727,0.002450791],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005386008,"threshold_uncertainty_score":0.01501787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003893989824217334,"score_gpt":0.2065292641735177,"score_spread":0.2026352743493004,"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."}}