{"id":"W4408063058","doi":"10.5220/0013090100003893","title":"A Discrete Event Simulation Tool for Conducting a Fleet Mix Study","year":2025,"lang":"en","type":"article","venue":"","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Discrete event simulation; Computer science; Event (particle physics); Simulation","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":[0.001293321,0.001106905,0.001120821,0.001012856,0.0006711988,0.001053357,0.002075054,0.001481093,0.01654859],"category_scores_gemma":[0.003336913,0.0008849626,0.001064425,0.0008416926,0.0003773128,0.0009210904,0.0008140854,0.001631818,0.001338751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007549932,"about_ca_system_score_gemma":0.001479665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01095369,"about_ca_topic_score_gemma":0.01131786,"domain_scores_codex":[0.9996785,0.000114142,0.00002962801,0.00004062793,0.00009297796,0.0000441007],"domain_scores_gemma":[0.9966882,0.002486438,0.0001387618,0.0002444909,0.0002919431,0.0001501535],"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":[0.00008323944,0.0001210112,0.0008063017,0.00008410987,0.00005711434,0.00008160305,0.00005246817,0.9844974,0.0009859169,0.004513049,0.001734733,0.006982999],"study_design_scores_gemma":[0.00003244503,0.00001836803,0.00008137325,0.00000646343,0.00001045408,0.00001352803,0.000008666918,0.9969311,0.0004129028,0.001166736,0.001310835,0.000007102868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05221693,0.0001019063,0.9146945,0.0002308608,0.0001655369,0.000422283,0.003789633,0.01344279,0.01493551],"genre_scores_gemma":[0.5465851,0.0002566504,0.4400583,0.0001638219,0.00005095238,0.001354084,0.003355094,0.001553147,0.006622778],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01654859,"threshold_uncertainty_score":0.05536062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01988566399221958,"score_gpt":0.2976279441668963,"score_spread":0.2777422801746767,"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."}}