{"id":"W4281649338","doi":"10.1155/2022/8674538","title":"An Experimental Analysis of Hierarchical Rail Traffic and Train Control in a Stochastic Environment","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Innosuisse - Schweizerische Agentur für Innovationsförderung; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Punctuality; Train; Energy (signal processing); Computer science; Monte Carlo method; Control (management); Simulation; Operations research; Engineering; Transport engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006232749,0.0003686093,0.0003474973,0.0003692278,0.0003278583,0.0005203997,0.0005808718,0.0003762096,0.002892747],"category_scores_gemma":[0.002150527,0.0001402443,0.0003463604,0.0003270909,0.0005383667,0.0004032464,0.0005325421,0.0004349731,0.0001760434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005503367,"about_ca_system_score_gemma":0.0006543837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00415218,"about_ca_topic_score_gemma":0.001906871,"domain_scores_codex":[0.9993926,0.0001233946,0.00003203249,0.0001243131,0.0001834603,0.0001440833],"domain_scores_gemma":[0.9982868,0.0008458055,0.0001788542,0.0003117485,0.0002532729,0.0001235061],"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":[0.002088325,0.002194202,0.007311542,0.0002516426,0.00007890304,0.0002605774,0.0003060747,0.8483601,0.1001923,0.01081752,0.0006174213,0.0275213],"study_design_scores_gemma":[0.0000786024,0.001973092,0.004956919,0.000007785617,0.00002198227,0.00002780866,0.00009577408,0.9644043,0.02634855,0.001573066,0.0004901185,0.00002200947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687198,0.00003063737,0.0279541,0.00004234082,0.00002851762,0.00007081022,0.0002055714,0.0002301713,0.002718013],"genre_scores_gemma":[0.9969556,0.00001068323,0.002599948,0.000004258354,0.00000224614,0.00002737755,0.00007464658,0.000007596333,0.0003175696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00415218,"threshold_uncertainty_score":0.009677172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003940704496328995,"score_gpt":0.2055607673194418,"score_spread":0.2016200628231128,"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."}}