{"id":"W4319349087","doi":"10.5194/essd-2022-330","title":"Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canmore Museum and Geoscience Centre; Global Institute for Water Security; University of Saskatchewan","funders":"Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Biological and Environmental Research; Global Water Futures; European Research Council; Centrum för naturkatastrofslära, Uppsala Universitet; California Institute for Water Resources, University of California; Agencia Estatal de Investigación; Division of Agriculture and Natural Resources, University of California; Office of Science; University of Illinois at Urbana-Champaign; National Oceanic and Atmospheric Administration; Länsförsäkringar; Agencia Nacional de Investigación y Desarrollo; National Science Foundation; UK Research and Innovation; Istanbul Teknik Üniversitesi; U.S. Department of Energy; National Natural Science Foundation of China; Vetenskapsrådet; U.S. Geological Survey; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Centre National d’Etudes Spatiales; European Commission; Ministerio de Ciencia e Innovación; Bundesministerium für Bildung und Forschung; Horizon 2020; Russian Foundation for Basic Research; British Geological Survey; Horizon 2020 Framework Programme; Svenska Forskningsrådet Formas; Deltares; Murdoch University; Deutscher Akademischer Austauschdienst; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; National Foundation for Science and Technology Development; Sight Research UK; Natural Environment Research Council; Alexander von Humboldt-Stiftung; National Aeronautics and Space Administration","keywords":"Flood myth; Context (archaeology); Hazard; Benchmark (surveying); Vulnerability (computing); Climate change; Environmental science; Environmental resource management; Geography; Climatology; Computer science; Cartography; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001027812,0.001001931,0.0008622725,0.003270139,0.0004779678,0.001333848,0.002007039,0.002005347,0.01721975],"category_scores_gemma":[0.006027029,0.0004080215,0.001021547,0.005042272,0.0003259746,0.001019176,0.001713602,0.001052088,0.01556987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009932237,"about_ca_system_score_gemma":0.001275403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02046647,"about_ca_topic_score_gemma":0.03406235,"domain_scores_codex":[0.9990314,0.0002320891,0.000149236,0.0002576401,0.000220969,0.0001087497],"domain_scores_gemma":[0.9969912,0.0009764141,0.000445633,0.0006518743,0.0007265234,0.0002083185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001809341,0.00007923354,0.01180415,0.00194586,0.000127812,0.0002223368,0.0001164514,0.002838618,0.0004945461,0.001037761,0.96877,0.0123824],"study_design_scores_gemma":[0.0003247473,0.00009155375,0.06938013,0.0007248983,0.0000894405,0.0002590825,0.000435545,0.006262052,0.0007580296,0.002064265,0.9195059,0.000104384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001227747,0.0001265077,0.0001766948,0.0001101613,0.00002551728,0.00002682924,0.9972944,0.0003762321,0.0006359721],"genre_scores_gemma":[0.00292316,0.00007179302,0.0006237578,0.00003776871,0.00001229938,0.0001232952,0.9958203,0.00003618207,0.0003515526],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02046647,"threshold_uncertainty_score":0.0576058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08968006606409035,"score_gpt":0.3242558096296446,"score_spread":0.2345757435655543,"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."}}