{"id":"W2804572303","doi":"10.9734/jgeesi/2018/41773","title":"A Copula-based Approach for Assessing Flood Protection Overtopping Associated with a Seasonal Flood Forecast in Niamey, West Africa","year":2018,"lang":"en","type":"article","venue":"Journal of Geography Environment and Earth Science International","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"United Nations University Institute for Water, Environment, and Health; University of Ottawa","funders":"","keywords":"Flood myth; Tributary; Copula (linguistics); Flooding (psychology); Environmental science; Hydrology (agriculture); Flood forecasting; 100-year flood; Geography; Climatology; Geology; Mathematics; Geotechnical engineering; Cartography","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":[0.001218345,0.0005013955,0.0005201056,0.001370658,0.0003593471,0.0009419858,0.0006092567,0.0005776357,0.001172252],"category_scores_gemma":[0.004674147,0.0003269157,0.0004321224,0.0009420826,0.0002247987,0.0006154613,0.0005273148,0.0005445825,0.0001407043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008018872,"about_ca_system_score_gemma":0.0007649926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05011812,"about_ca_topic_score_gemma":0.04046887,"domain_scores_codex":[0.9997391,0.0001217631,0.00001706324,0.00005341509,0.00002634241,0.00004231288],"domain_scores_gemma":[0.998436,0.00110383,0.0001816215,0.00003381808,0.0001498561,0.00009481314],"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":[0.0002988878,0.0001458837,0.09302083,0.00005204615,0.0002287614,0.000470407,0.0002125324,0.8702371,0.00176299,0.001746593,0.0006153981,0.03120855],"study_design_scores_gemma":[0.000003989192,0.00003891533,0.01529551,0.000004340878,0.000019454,0.00002652725,0.0001259224,0.9839795,0.0001379424,0.0002861527,0.00007470301,0.000007129764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749681,0.000111825,0.02315195,0.0001118921,0.00001293313,0.00003662656,0.000364199,0.00006258399,0.001179948],"genre_scores_gemma":[0.9934559,0.00006113573,0.005825095,0.000007827403,0.000008580551,0.00001585298,0.0002140348,0.0000108399,0.0004006873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05011812,"threshold_uncertainty_score":0.09965283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321607588490685,"score_gpt":0.2223697486630364,"score_spread":0.2091536727781295,"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."}}