{"id":"W2893842285","doi":"10.3390/su10103470","title":"Assessment of Critical Infrastructure Resilience to Flooding Using a Response Curve Approach","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flooding (psychology); Flood myth; Resilience (materials science); Robustness (evolution); Metric (unit); Computer science; Population; Environmental science; Environmental resource management; Engineering; Geography; Operations management; Psychology; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002504953,0.001066973,0.0006358954,0.005443063,0.0004428025,0.001376557,0.001313801,0.001238781,0.002792835],"category_scores_gemma":[0.008388168,0.0002952497,0.001570835,0.003301668,0.0007291297,0.001618208,0.001588116,0.0009916697,0.0004542693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002093129,"about_ca_system_score_gemma":0.001248455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01257679,"about_ca_topic_score_gemma":0.004843439,"domain_scores_codex":[0.9987431,0.0004640369,0.00006245999,0.000168513,0.00041319,0.0001487578],"domain_scores_gemma":[0.9969615,0.001606237,0.0003915737,0.0002697974,0.0006192727,0.0001514812],"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":[0.0001684541,0.0001310318,0.01906351,0.0002547089,0.0002123712,0.0002132277,0.0004474064,0.9201664,0.003926065,0.01345675,0.001006978,0.04095301],"study_design_scores_gemma":[0.00001342839,0.000287584,0.01689586,0.00005693688,0.00005158921,0.0001895807,0.0006799088,0.9631941,0.002877355,0.01275308,0.002922332,0.00007822851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4560055,0.000663618,0.5165632,0.0005353974,0.00007347992,0.0008304209,0.002026078,0.001094719,0.02220759],"genre_scores_gemma":[0.9628977,0.0002440387,0.03445744,0.00003167583,0.00001262134,0.0002464973,0.0004384214,0.00005642344,0.001615162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01257679,"threshold_uncertainty_score":0.02500719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008317904338489383,"score_gpt":0.3206637695173895,"score_spread":0.3123458651789001,"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."}}