{"id":"W3185142877","doi":"10.1007/s11069-021-04892-6","title":"GIS derived synthetic rating curves and HAND model to support on-the-fly flood mapping","year":2021,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; University of Calgary","funders":"University of Calgary; Ministry of Natural Resources","keywords":"Rating curve; Flood myth; Hydrology (agriculture); Environmental science; Computer science; Statistics; Mathematics; Geology; Geotechnical engineering; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000255654,0.0001470917,0.0001388454,0.00002412171,0.0002814613,0.0001046083,0.0001690346,0.00003439943,0.0005238286],"category_scores_gemma":[0.00008598749,0.0001065712,0.00004791611,0.000184495,0.0000806992,0.0001340184,0.0003892619,0.0001676734,0.0001172983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006681757,"about_ca_system_score_gemma":0.00002058167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004470001,"about_ca_topic_score_gemma":0.0001796505,"domain_scores_codex":[0.9988037,0.00004748686,0.0001521242,0.0003495661,0.0003771856,0.0002698787],"domain_scores_gemma":[0.9995723,0.00005288418,0.00003833121,0.0002390834,0.00001257121,0.00008479668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006710961,0.0003581216,0.004969859,0.0003017783,0.0002375296,0.0002485202,0.004565541,0.0155502,0.4659366,0.00264726,0.1914544,0.3136631],"study_design_scores_gemma":[0.002853103,0.0007498852,0.08487617,0.001470108,0.0003506635,0.0001032702,0.003251031,0.5767741,0.2613952,0.00371621,0.06164307,0.002817232],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792011,0.0004014336,0.001333245,0.008062841,0.0002009551,0.0003288489,0.000006642503,0.00004081186,0.01042406],"genre_scores_gemma":[0.9886422,0.0001165188,0.004220369,0.003289903,0.00002685623,0.00002724954,0.000007692924,0.00001244415,0.00365676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5612239,"threshold_uncertainty_score":0.5735555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01760019114778512,"score_gpt":0.2518557724712283,"score_spread":0.2342555813234432,"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."}}