{"id":"W7057226818","doi":"","title":"IMPACTS OF URBAN DEVELOPMENT PATTERN ON RUNOFF PEAK FLOWS AND STREAMFLOW FLASHINESS OF PERI-URBAN CATCHMENTS: ASSESSING THE PERFORMANCE OF PHYSICAL AND DATA-DRIVEN MODELS FOR REAL-TIME ENSEMBLE FLOOD FORECASTING","year":2019,"lang":"en","type":"article","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Syracuse University; National Science Foundation","keywords":"Surface runoff; Streamflow; Snowmelt; Hydrology (agriculture); Evapotranspiration; Snow; Infiltration (HVAC); Storm; Hydrological modelling; Flood myth","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":[0.001269065,0.0009759431,0.0006722555,0.0006381743,0.0003535554,0.0008964792,0.0007580561,0.0009208574,0.0004911757],"category_scores_gemma":[0.001885538,0.0003756611,0.0009785678,0.0006223723,0.0003204018,0.0009940346,0.0006262225,0.0007194099,0.0001216463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008990579,"about_ca_system_score_gemma":0.0008095692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0450171,"about_ca_topic_score_gemma":0.02113884,"domain_scores_codex":[0.9997562,0.00006910507,0.00001987059,0.00006283346,0.0000417329,0.0000502753],"domain_scores_gemma":[0.9989828,0.0005757345,0.00008539912,0.00007287332,0.0001595767,0.0001235545],"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":[0.0002018819,0.0002425549,0.03984365,0.00003782357,0.0001293077,0.00005523978,0.00003911629,0.9483671,0.001087897,0.0001628446,0.0003414751,0.009491198],"study_design_scores_gemma":[0.00000811087,0.00004426335,0.007706267,0.000003214019,0.00001628738,0.000004347751,0.00002177957,0.9918338,0.0002327516,0.00006366529,0.00005837594,0.000007105272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952458,0.000196856,0.003031289,0.0001401162,0.00002809742,0.00002502523,0.0005710227,0.0001359705,0.0006258226],"genre_scores_gemma":[0.9980896,0.00009088244,0.001081678,0.00001497019,0.000008789014,0.00001585572,0.00057501,0.000009310312,0.0001138303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0450171,"threshold_uncertainty_score":0.08951014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02766950085700275,"score_gpt":0.2859345668990357,"score_spread":0.2582650660420329,"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."}}