{"id":"W4412590550","doi":"10.1016/b978-0-443-33631-7.00004-4","title":"Prediagnosis of flooding using real-time monitoring of climate parameters","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; University of Ottawa; Université Laval","funders":"","keywords":"Flooding (psychology); Environmental science; Meteorology; Geography; Psychology","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":[0.0003062011,0.0002697969,0.0001792512,0.0007450855,0.0001062318,0.0008636758,0.0004544042,0.0004396109,0.00723712],"category_scores_gemma":[0.0009181368,0.0001430877,0.0002198062,0.0006699408,0.0001837397,0.0008116253,0.0002120404,0.0002566159,0.001941911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001594585,"about_ca_system_score_gemma":0.0002688286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002409307,"about_ca_topic_score_gemma":0.003999648,"domain_scores_codex":[0.9999276,0.00001165782,0.000006793504,0.0000210154,0.00002850883,0.000004412635],"domain_scores_gemma":[0.9996941,0.0001529429,0.00003812205,0.00004544217,0.00005384008,0.00001557515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001316792,0.00004212607,0.01260867,0.0002138746,0.00002600249,0.0002260919,0.0001111257,0.04535393,0.0167225,0.009342833,0.01853065,0.8966905],"study_design_scores_gemma":[0.00002446405,0.000165689,0.03760897,0.000164577,0.00007910367,0.001048671,0.0001896016,0.7722595,0.04052158,0.03517133,0.1126991,0.00006754014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06257643,0.002246039,0.825332,0.0006898277,0.0004384168,0.00007580513,0.002862762,0.008691355,0.09708736],"genre_scores_gemma":[0.6045916,0.002972002,0.327225,0.0001800167,0.0003413382,0.00006921119,0.003441669,0.000471715,0.06070738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00723712,"threshold_uncertainty_score":0.02421051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02603914385857216,"score_gpt":0.2542911736212434,"score_spread":0.2282520297626713,"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."}}