{"id":"W4401171689","doi":"10.1155/2024/5910244","title":"Vulnerability Analysis of China‐Europe Railway Express Network Based on Improved Nonlinear Load‐Capacity Model","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"China; Vulnerability (computing); Nonlinear system; Vulnerability assessment; Computer science; Transport engineering; Engineering; Computer security; Geography; Medicine","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":[0.0005616722,0.0006746273,0.0004157618,0.001006523,0.0004254003,0.0007730261,0.0008998518,0.0007759819,0.001420452],"category_scores_gemma":[0.001182701,0.0002561109,0.000719341,0.0005387582,0.0006451393,0.001157286,0.0008823499,0.0005962861,0.0001137908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555016,"about_ca_system_score_gemma":0.0008929465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04914389,"about_ca_topic_score_gemma":0.01878946,"domain_scores_codex":[0.9997742,0.00005602749,0.000009661715,0.00005216936,0.00004710785,0.00006094948],"domain_scores_gemma":[0.9996049,0.0001428695,0.0000801491,0.00002039784,0.0001128098,0.00003884793],"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":[0.00001687297,0.00000674813,0.001986579,0.000008324299,0.00001084249,0.00006937223,0.000027064,0.9947565,0.0003139645,0.001430969,0.0001523301,0.001220406],"study_design_scores_gemma":[7.166563e-7,0.00000279599,0.0003944366,0.000001098317,0.000002722061,0.000006092857,0.00001050618,0.9991505,0.00003782111,0.0003586331,0.00003230214,0.00000238287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8652838,0.0003667335,0.1237215,0.0007151223,0.00002642804,0.0000542127,0.0004800848,0.0002431112,0.00910904],"genre_scores_gemma":[0.9963343,0.0001284031,0.00172609,0.00001963678,0.000005063688,0.00002147316,0.0001439625,0.00001272758,0.001608266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04914389,"threshold_uncertainty_score":0.09771568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065493298926778,"score_gpt":0.2684841788596431,"score_spread":0.2578292458703753,"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."}}