{"id":"W2070724539","doi":"10.1175/mwr-d-13-00085.1","title":"Wavelet Analysis of Seasonal Rainfall Variability of the Upper Blue Nile Basin, Its Teleconnection to Global Sea Surface Temperature, and Its Forecasting by an Artificial Neural Network","year":2013,"lang":"en","type":"article","venue":"Monthly Weather Review","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Teleconnection; Climatology; Environmental science; Sea surface temperature; Principal component analysis; Structural basin; Meteorology; Geology; Geography; Mathematics; Statistics","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":[0.0002435382,0.0002098345,0.000122561,0.0003417665,0.00009702367,0.0003097104,0.0001371306,0.0001476058,0.000298181],"category_scores_gemma":[0.0007351793,0.00008319966,0.0001653058,0.0003771668,0.0001033554,0.0001678933,0.0001360001,0.0002027763,0.00003719912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002115067,"about_ca_system_score_gemma":0.0001703293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007179923,"about_ca_topic_score_gemma":0.004018959,"domain_scores_codex":[0.9999487,0.00001433707,0.000003437302,0.00001187531,0.00001197112,0.000009689703],"domain_scores_gemma":[0.9998653,0.00007411753,0.00002006123,0.000007126206,0.00002614438,0.000007372722],"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":[0.0002116762,0.0001010875,0.08345315,0.00004122429,0.0001173309,0.0003446779,0.00008480419,0.8242568,0.01448688,0.0006684809,0.0004299899,0.07580399],"study_design_scores_gemma":[0.000002140506,0.000008837696,0.01618229,0.000001336516,0.000005099106,0.000006914707,0.00001295503,0.9831284,0.0005295046,0.00007373009,0.00004670587,0.000002032432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989431,0.00005444494,0.009937416,0.00003769083,0.000008282048,0.000005006381,0.00005968076,0.00003344631,0.0004330097],"genre_scores_gemma":[0.9986941,0.00002641371,0.001131026,0.000002007646,0.000002221763,0.000002407533,0.00003755721,0.000001727273,0.000102497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007179923,"threshold_uncertainty_score":0.01427627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971080563161521,"score_gpt":0.241973695356269,"score_spread":0.2222628897246538,"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."}}