{"id":"W3033013060","doi":"10.2166/hydro.2020.019","title":"Optimization of dam's spillway design under climate change conditions","year":2020,"lang":"en","type":"article","venue":"Journal of Hydroinformatics","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spillway; Environmental science; Flood myth; Climate change; Downscaling; Hydrology (agriculture); Watershed; Surface runoff; Streamflow; Civil engineering; Computer science; Engineering; Geology; Geotechnical engineering; Drainage basin; Geography; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003578554,0.0004635562,0.0004269121,0.0003998688,0.0003125476,0.0005724219,0.0004528307,0.0006312492,0.00182222],"category_scores_gemma":[0.0007485054,0.00021187,0.000478477,0.0003285542,0.0003314413,0.0003457605,0.0003623877,0.0003511573,0.00009572038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008565937,"about_ca_system_score_gemma":0.001154464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0158993,"about_ca_topic_score_gemma":0.01240025,"domain_scores_codex":[0.9998983,0.00002936173,0.000002833586,0.00002102332,0.00001290454,0.00003551157],"domain_scores_gemma":[0.9997949,0.0001007182,0.00003268172,0.00001225663,0.00003679302,0.00002270644],"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":[0.00001404721,0.000007665677,0.0005377299,0.000006707702,0.00000372708,0.00001023333,0.00000423643,0.9978092,0.0003107554,0.000165082,0.00004194642,0.001088702],"study_design_scores_gemma":[0.000005954362,0.00002572426,0.0003717362,0.00000170369,0.000004665892,0.000003993603,0.00001369966,0.9990115,0.0003070687,0.0001093001,0.0001425596,0.000002110363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8797629,0.0001922913,0.1112814,0.0001969005,0.00003249542,0.00007715281,0.000405513,0.0003458119,0.007705458],"genre_scores_gemma":[0.988269,0.00004090278,0.0106211,0.00001375427,0.000002400265,0.00004041368,0.00009389484,0.00001352202,0.0009050444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0158993,"threshold_uncertainty_score":0.03161353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04032401341218348,"score_gpt":0.244151266160151,"score_spread":0.2038272527479675,"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."}}