{"id":"W2023347862","doi":"10.1007/s11269-008-9382-1","title":"Enhancing Inflow Forecasting Model at Aswan High Dam Utilizing Radial Basis Neural Network and Upstream Monitoring Stations Measurements","year":2008,"lang":"en","type":"article","venue":"Water Resources Management","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Ottawa Mental Health Centre; Royal Military College of Canada","funders":"","keywords":"Inflow; Upstream (networking); Artificial neural network; Hydrogeology; Hydrology (agriculture); Water level; Environmental science; Computer science; Meteorology; Engineering; Machine learning; Cartography; Geotechnical engineering; Geography","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":[0.0004080163,0.0005105491,0.000418864,0.0003385318,0.0004732783,0.0004556389,0.000608907,0.0005280667,0.0006796615],"category_scores_gemma":[0.0008049583,0.0003299589,0.0003050009,0.0004868062,0.0001502361,0.0008352367,0.0002783041,0.0006635338,0.0002095344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007191899,"about_ca_system_score_gemma":0.0009491271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03544065,"about_ca_topic_score_gemma":0.04400991,"domain_scores_codex":[0.9998777,0.00002640208,0.000007341275,0.00003268524,0.00003658881,0.00001917878],"domain_scores_gemma":[0.9996861,0.00007566549,0.00003303223,0.00002332341,0.0001581592,0.00002379241],"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":[0.00007356399,0.0001002543,0.009782703,0.00001614181,0.00002028256,0.000060304,0.00002828818,0.9611021,0.003064684,0.0004975071,0.000909773,0.02434429],"study_design_scores_gemma":[0.000001780845,0.000005130577,0.0005143099,3.472858e-7,0.000002808867,0.000001296557,0.000002209803,0.9990294,0.0003634117,0.00005003062,0.00002736481,0.000001887367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8375277,0.00008350742,0.1542816,0.0003692336,0.0001356665,0.00004871702,0.0004996083,0.001204711,0.005849216],"genre_scores_gemma":[0.9879735,0.00003661869,0.01048885,0.00001244617,0.00001150214,0.00001898829,0.0001716598,0.00001382393,0.001272697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03544065,"threshold_uncertainty_score":0.07046872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06148723465531115,"score_gpt":0.2297694422745672,"score_spread":0.1682822076192561,"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."}}