{"id":"W4403150608","doi":"10.1016/j.ress.2024.110551","title":"A multi-stage stochastic programming model for multi-mission selective maintenance optimization","year":2024,"lang":"en","type":"article","venue":"Reliability Engineering & System Safety","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stochastic programming; Stage (stratigraphy); Computer science; Mathematical optimization; Operations research; Engineering; Mathematics; Geology","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":[0.002631085,0.001365175,0.002582521,0.0008535616,0.0005790413,0.001787822,0.003130836,0.003099354,0.005176139],"category_scores_gemma":[0.004095327,0.00150275,0.001546435,0.001362695,0.001106073,0.001502468,0.001592264,0.002435117,0.0005778428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001802017,"about_ca_system_score_gemma":0.002356816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01394994,"about_ca_topic_score_gemma":0.009873942,"domain_scores_codex":[0.9988958,0.0004668846,0.00004265601,0.0001955506,0.0001939544,0.0002051188],"domain_scores_gemma":[0.9980561,0.001333007,0.0002002958,0.00005620589,0.0002253207,0.0001291208],"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":[0.00002313758,0.00001596716,0.00008774488,0.00002387213,0.00001580715,0.00002565448,0.000009816539,0.9906624,0.0001619324,0.007159784,0.0002926233,0.001521286],"study_design_scores_gemma":[0.000005873553,0.00001097871,0.00003279762,0.000002168238,0.000005088991,0.000003205977,0.000001803644,0.9984152,0.00002842437,0.001381764,0.000109321,0.000003325918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01803206,0.0005039055,0.9744992,0.0005196959,0.00008535521,0.0000892407,0.0003537722,0.0001862508,0.005730552],"genre_scores_gemma":[0.8729255,0.0008704551,0.1011778,0.000268202,0.0001378445,0.0006381372,0.0006338542,0.0001540807,0.02319412],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01394994,"threshold_uncertainty_score":0.02773744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972072711408585,"score_gpt":0.2519016100204082,"score_spread":0.2321808829063223,"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."}}