{"id":"W4415813562","doi":"10.3390/app152111656","title":"Advancing Machine Learning-Based Streamflow Prediction Through Event Greedy Selection, Asymmetric Loss Function, and Rainfall Forecasting Uncertainty","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Streamflow; Flood forecasting; Probabilistic logic; Reliability (semiconductor); Storm; Flood myth","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001248189,0.0002094348,0.0001892284,0.0001441589,0.001443088,0.0001025197,0.0002320211,0.00009779583,0.000143735],"category_scores_gemma":[0.0004316628,0.0001758405,0.00004519386,0.002465924,0.0007116371,0.0002344648,0.0001679736,0.0002931572,0.00002431164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001921749,"about_ca_system_score_gemma":0.00006179731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006437624,"about_ca_topic_score_gemma":0.0004609018,"domain_scores_codex":[0.9978776,0.00008302095,0.0003285478,0.000739871,0.0004679185,0.0005030498],"domain_scores_gemma":[0.999302,0.000307988,0.0001588878,0.0001205929,0.0000221198,0.00008846409],"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":[0.00003481202,0.00006606086,0.226963,0.00001204793,0.000009034031,7.845011e-7,0.00007010507,0.7627132,0.0007817876,0.001086126,0.0001937667,0.008069281],"study_design_scores_gemma":[0.0007017398,0.000551465,0.04282239,0.00004283595,0.00004693863,0.00001061764,0.00006553224,0.9343026,0.0004952543,0.01502956,0.005642702,0.0002883709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8937455,0.0000726686,0.08001234,0.0005691225,0.000251943,0.0003696732,0.000004586218,0.0002878154,0.02468637],"genre_scores_gemma":[0.9942031,0.000006424408,0.004996159,0.0005518572,0.00004058926,0.00003580897,0.000009238825,0.000008815348,0.0001480075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1841406,"threshold_uncertainty_score":0.9998569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01223627356750102,"score_gpt":0.2343636747899484,"score_spread":0.2221274012224474,"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."}}