{"id":"W2034702618","doi":"10.1007/s13198-011-0053-x","title":"An aggregative fuzzy risk analysis for flood incident management","year":2011,"lang":"en","type":"article","venue":"International Journal of Systems Assurance Engineering and Management","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Flood myth; Vagueness; Risk analysis (engineering); Risk management; Warrant; Computer science; Fuzzy logic; Event (particle physics); Emergency management; Reliability engineering; Engineering; Business; Geography; Economics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004217414,0.0009374266,0.001279438,0.002979153,0.0008786262,0.002210176,0.001122325,0.0006856952,0.001900267],"category_scores_gemma":[0.005142611,0.0004185464,0.00156459,0.002014976,0.0005623774,0.002032846,0.001273402,0.001050145,0.0001606141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001277441,"about_ca_system_score_gemma":0.00125087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002999257,"about_ca_topic_score_gemma":0.002345885,"domain_scores_codex":[0.9981163,0.0006975776,0.0001170534,0.0001600864,0.0007559347,0.000153088],"domain_scores_gemma":[0.9977993,0.001249718,0.000183217,0.0001184916,0.0005706633,0.00007857753],"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":[0.0002896909,0.0001785183,0.003152604,0.0002351496,0.0004027835,0.0003064348,0.0003538366,0.7771425,0.005219299,0.05836176,0.001697812,0.1526596],"study_design_scores_gemma":[0.000005091838,0.00006613803,0.0005310649,0.00001571849,0.00005336117,0.00003711334,0.00004457017,0.9864629,0.000554339,0.01184351,0.0003709816,0.00001517755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04794772,0.0003217019,0.9490194,0.0001313387,0.0000422229,0.00006326981,0.00008334159,0.0001068328,0.002284183],"genre_scores_gemma":[0.8022925,0.0003644572,0.1949005,0.0000460513,0.00008188678,0.0001260356,0.0001417615,0.00003960311,0.002007176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004217414,"threshold_uncertainty_score":0.02230412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06556668452597818,"score_gpt":0.3513108961894646,"score_spread":0.2857442116634864,"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."}}