{"id":"W2766527417","doi":"10.2495/safe-v7-n2-137-146","title":"Assessing vulnerabilities as a step toward climate change induced hazard preparedness","year":2017,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preparedness; Hazard; Climate change; Vulnerability (computing); Environmental science; Environmental planning; Risk analysis (engineering); Environmental health; Environmental resource management; Computer security; Business; Computer science; Political science; Medicine; Geology; Oceanography; Chemistry","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":[0.006974627,0.001709239,0.0006446931,0.006063683,0.001021019,0.004066631,0.001394299,0.001390561,0.005724821],"category_scores_gemma":[0.02010253,0.0004464353,0.0007868789,0.002182416,0.0009187344,0.005778153,0.003928557,0.002573454,0.0006179364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001757135,"about_ca_system_score_gemma":0.005697676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005647976,"about_ca_topic_score_gemma":0.01283266,"domain_scores_codex":[0.9971848,0.001355403,0.0002195708,0.0001644962,0.0008621252,0.0002136232],"domain_scores_gemma":[0.9894084,0.003855152,0.0020549,0.0006203545,0.003079714,0.000981473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004047445,0.001434246,0.3586833,0.00226576,0.001164631,0.0009993566,0.005035066,0.1371447,0.01322027,0.1054385,0.01913734,0.3550721],"study_design_scores_gemma":[0.00009339798,0.003043346,0.2511949,0.002597624,0.0008041208,0.0008213731,0.03683412,0.2483045,0.01590993,0.3707676,0.06907266,0.0005563776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5305319,0.003874952,0.3075774,0.02469297,0.0004251388,0.003642789,0.005359426,0.002238577,0.1216568],"genre_scores_gemma":[0.7463037,0.002003116,0.2467306,0.0004518936,0.00004627915,0.0006850942,0.001168354,0.00005506945,0.002555886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006974627,"threshold_uncertainty_score":0.0368858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0248261756450159,"score_gpt":0.2977439556897431,"score_spread":0.2729177800447272,"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."}}