{"id":"W3134693883","doi":"","title":"LSTM-Based Rainfall-Runoff Modeling at Arbitrary Time Scales","year":2020,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Surface runoff; Environmental science; Computer science; Hydrology (agriculture); Meteorology; Geology; Geography; Geotechnical engineering","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":[0.0002130752,0.0003638491,0.0003264302,0.0002527416,0.0001993427,0.0005505494,0.0006686071,0.0005512431,0.002407283],"category_scores_gemma":[0.001025886,0.0002490437,0.000289063,0.0008115956,0.0001857563,0.001236115,0.0003134643,0.0007473297,0.0004970043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004934265,"about_ca_system_score_gemma":0.0006072113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01317527,"about_ca_topic_score_gemma":0.01054436,"domain_scores_codex":[0.9999255,0.00001426864,0.000005182775,0.000024624,0.00001849503,0.0000120582],"domain_scores_gemma":[0.9998522,0.00006497815,0.00001322626,0.00001792817,0.00004256927,0.000009054224],"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":[0.00003441928,0.00002190042,0.0004219396,0.00002486997,0.00001852921,0.00001907772,0.00001768137,0.9586908,0.003973903,0.003432938,0.001737741,0.03160617],"study_design_scores_gemma":[9.605415e-7,0.000001148165,0.00005639752,4.885851e-7,0.000001016573,9.691724e-7,5.992222e-7,0.9989206,0.0002690134,0.000625519,0.0001222931,0.000001111234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1365197,0.0004228808,0.8447601,0.0006044921,0.0002771848,0.0000357033,0.001639824,0.005195321,0.01054475],"genre_scores_gemma":[0.8996912,0.0003072259,0.09232505,0.000129357,0.0001205859,0.00005986305,0.001262715,0.0002477438,0.005856222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01317527,"threshold_uncertainty_score":0.0261972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02721374148222639,"score_gpt":0.2251649228363935,"score_spread":0.1979511813541671,"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."}}