{"id":"W3136807982","doi":"10.1002/wat2.1520","title":"Challenges in modeling and predicting floods and droughts: A review","year":2021,"lang":"en","type":"review","venue":"Wiley Interdisciplinary Reviews Water","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":437,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canmore Museum and Geoscience Centre; University of Saskatchewan","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Flood myth; Temporal scales; Process (computing); Warning system; Climate change; Computer science; Human systems engineering; Scale (ratio); Environmental resource management; Stakeholder engagement; Risk analysis (engineering); Environmental science; Geography; Business; Ecology","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":[0.002433247,0.00158206,0.001861692,0.002597051,0.0003777812,0.002188258,0.001801086,0.002100744,0.001511118],"category_scores_gemma":[0.006031738,0.0007598607,0.001351399,0.004080715,0.0007747267,0.003980267,0.001021937,0.002020681,0.0007903053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000795951,"about_ca_system_score_gemma":0.002779606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004999238,"about_ca_topic_score_gemma":0.003727008,"domain_scores_codex":[0.9992906,0.0001810522,0.0001460069,0.0001359584,0.0002092772,0.00003698338],"domain_scores_gemma":[0.9941441,0.004443896,0.0004112619,0.0001021901,0.0007928914,0.0001057534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000627483,0.0001422679,0.002236464,0.05113422,0.0005087542,0.0003183608,0.0004940627,0.02327635,0.001040445,0.03966384,0.04845218,0.8326702],"study_design_scores_gemma":[0.00001874376,0.000168469,0.002490835,0.02936233,0.000571857,0.000667147,0.0005402672,0.01251321,0.0006909671,0.03355021,0.9192631,0.0001627605],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003478458,0.9946689,0.002657236,0.001133446,0.00032055,0.0000101336,0.00006433502,0.00002667812,0.0007709513],"genre_scores_gemma":[0.002038384,0.9960291,0.001214237,0.0001839762,0.0003264424,0.0000105765,0.00006556483,0.000006519915,0.0001252715],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004999238,"threshold_uncertainty_score":0.01286834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08231490697962998,"score_gpt":0.3496334617960412,"score_spread":0.2673185548164112,"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."}}