{"id":"W4403317550","doi":"10.1155/2024/1436605","title":"Cascading Reliability Assessment of International Railway Freight Network Based on Coupled Map Lattices: A Case Study of China Railway Express","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Railway","keywords":"Reliability (semiconductor); China; Transport engineering; Engineering; Railway system; Reliability engineering; Computer science; Forensic engineering; Geography; Physics","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":[0.001101258,0.0007771149,0.0004453218,0.001199056,0.0008446191,0.0007318363,0.0008711478,0.0007492929,0.001201407],"category_scores_gemma":[0.002214387,0.0002716242,0.0007820018,0.0009224438,0.001030711,0.00112611,0.0009589402,0.0005986134,0.00008171577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00176442,"about_ca_system_score_gemma":0.0009735373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03687972,"about_ca_topic_score_gemma":0.01739444,"domain_scores_codex":[0.9995388,0.0001745948,0.00001742084,0.00008523162,0.00009192808,0.00009203282],"domain_scores_gemma":[0.9984695,0.0008006825,0.0002078851,0.00008204355,0.0002944077,0.0001453722],"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":[0.00006470516,0.00003481811,0.005842869,0.0000336519,0.00003307222,0.0005933245,0.0001267318,0.9845871,0.001146469,0.004451509,0.0002417266,0.002844074],"study_design_scores_gemma":[0.000007089043,0.00003522856,0.001261295,0.000002996076,0.00002005312,0.00006425061,0.0001654572,0.9956866,0.0005373546,0.002087566,0.0001207228,0.00001135356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421161,0.0001531547,0.05439894,0.0001966293,0.00001348931,0.00005618891,0.0001494407,0.0001008511,0.002815229],"genre_scores_gemma":[0.9959342,0.00005594367,0.003339654,0.000005396099,0.000002233501,0.00001667347,0.00003741077,0.000006451803,0.0006019374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03687972,"threshold_uncertainty_score":0.0733301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520708020215481,"score_gpt":0.3005226436260846,"score_spread":0.2853155634239298,"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."}}