{"id":"W3109409596","doi":"10.3390/su12229734","title":"Maintenance Decision-Making of an Urban Rail Transit System in a Regionalized Network-Wide Perspective","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Bijzonder Onderzoeksfonds UGent; National Natural Science Foundation of China","keywords":"Node (physics); Optimal maintenance; Reliability (semiconductor); Computer science; Reliability engineering; Network planning and design; Operations research; Integer programming; Mathematical optimization; Engineering; Computer network; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009682095,0.00008417531,0.0002151142,0.00004197094,0.0001703067,0.00002149312,0.000166363,0.00008240043,0.00002178567],"category_scores_gemma":[0.001953662,0.0000859521,0.00006814377,0.0006931073,0.0001897663,0.0002282279,0.000005734579,0.0001142542,5.695248e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007202032,"about_ca_system_score_gemma":0.0006348605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001455151,"about_ca_topic_score_gemma":0.001842228,"domain_scores_codex":[0.99849,0.0003426569,0.0003160229,0.0003010378,0.0002905081,0.0002598067],"domain_scores_gemma":[0.9985195,0.0003370169,0.0001151135,0.0001324924,0.0008110351,0.00008482702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.001431781,0.0001058936,0.2043567,0.0002184812,0.00001532106,0.00006530138,0.2964481,0.1602972,0.00000102442,0.3347906,0.000613923,0.001655734],"study_design_scores_gemma":[0.002154672,0.0002531553,0.2594185,0.0004826958,0.00004584115,0.000001068915,0.6234174,0.03049213,0.000003693507,0.07723615,0.0060072,0.0004874582],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7953445,0.0002621169,0.1886669,0.009742682,0.0001526055,0.001272479,0.00001491458,0.0002727798,0.004271059],"genre_scores_gemma":[0.9968721,0.000003566083,0.002856817,0.0001511436,0.00006320486,0.00001395094,0.000004735067,0.000007259471,0.00002721898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3269693,"threshold_uncertainty_score":0.3505025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159632651072871,"score_gpt":0.2972091248874464,"score_spread":0.2856127983767177,"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."}}