{"id":"W3005562718","doi":"10.1155/2020/7645142","title":"Mass Rapid Transit Operation and Maintenance Cost Calculation Model","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport Systems Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Capital cost; Kilometer; Transit (satellite); Transport engineering; Total cost; Unit cost; Transit system; Capital city; Unit (ring theory); Cost analysis; Cost estimate; Operating cost; Environmental science; Operations management; Engineering; Reliability engineering; Business; Mathematics; Public transport; Economics; Waste management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009906039,0.0001338165,0.0002737535,0.00007969816,0.00003422122,0.00001766081,0.00005855279,0.00006032416,0.00001465683],"category_scores_gemma":[0.000004177577,0.0001293084,0.0001025632,0.0001460255,0.00001254291,0.0006747749,2.120451e-7,0.0001596368,0.000001667338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000406568,"about_ca_system_score_gemma":0.00001839737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000216016,"about_ca_topic_score_gemma":0.00003168147,"domain_scores_codex":[0.9989235,0.00001069342,0.0006030495,0.0001135078,0.0002285641,0.0001206893],"domain_scores_gemma":[0.9995487,0.0000114524,0.0001380142,0.00005857625,0.0001152289,0.0001279993],"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":[0.00006156422,0.000005176465,0.0005679188,0.00008615755,0.0000539868,0.00001433802,0.001865138,0.9053285,0.08861164,0.0001053435,0.00003603212,0.003264275],"study_design_scores_gemma":[0.002139478,0.0001562858,0.03156145,0.000104737,0.000296329,0.00000877055,0.0004139147,0.9568304,0.007291482,0.0001890398,0.0006974549,0.0003106881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3087109,0.0003835591,0.6902658,0.0002965055,0.00008804473,0.0001423772,0.000018522,0.00004088262,0.00005340089],"genre_scores_gemma":[0.9877234,0.0003533837,0.01170769,0.00006698824,0.00007601583,0.000004364403,0.00003425199,0.00002716059,0.000006729637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6790125,"threshold_uncertainty_score":0.5273045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078129736773548,"score_gpt":0.2037923506966562,"score_spread":0.1930110533289207,"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."}}