{"id":"W4220717775","doi":"10.1155/2022/7303346","title":"Assessing the Dynamic Resilience of Local Roads: A Case Study of Flooding in Wuhan, China","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Heilongjiang Province","keywords":"Resilience (materials science); Robustness (evolution); Flooding (psychology); Metric (unit); Computer science; Benchmark (surveying); Transport engineering; China; Environmental resource management; Environmental science; Engineering; Geography; Operations management; Cartography","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":[0.0005013538,0.00008078052,0.0002507353,0.000211386,0.00008288054,0.000006951059,0.0001377171,0.00001858893,0.0000136628],"category_scores_gemma":[0.00001496604,0.00006460376,0.00008231673,0.0006267155,0.00003847518,0.0004265969,0.000003013332,0.0003428134,2.128781e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009354029,"about_ca_system_score_gemma":0.00003645506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001028313,"about_ca_topic_score_gemma":0.0009253036,"domain_scores_codex":[0.9986829,0.00008269171,0.0007132618,0.00007869036,0.0003404884,0.0001019821],"domain_scores_gemma":[0.9994355,0.00007020545,0.000291337,0.0001145506,0.00006770141,0.00002067086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00003019115,0.00009141524,0.00774791,0.00005447814,0.00002937142,0.0002258611,0.009572797,0.9646953,0.00790187,0.00000621104,2.473998e-7,0.00964435],"study_design_scores_gemma":[0.001408986,0.0005741227,0.5826555,0.0001095149,0.0001755143,0.0003303447,0.297741,0.1133995,0.003129381,0.0003214832,0.000004180935,0.0001504119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674346,0.0002068134,0.03211353,0.00001128299,0.000114288,0.0001055067,0.000002533062,0.000004750462,0.000006734076],"genre_scores_gemma":[0.9992852,0.00001981196,0.0006701929,0.000001996446,0.000008927663,0.000004285429,0.000001348893,0.000007594308,6.404347e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8512958,"threshold_uncertainty_score":0.2634465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005563591031354013,"score_gpt":0.2743887337076801,"score_spread":0.2688251426763261,"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."}}