{"id":"W2055317636","doi":"10.2478/s13533-011-0030-6","title":"Comparison of recorded rainfall with quantitative precipitation forecast in a rainfall-runoff simulation for the Langat River Basin, Malaysia","year":2011,"lang":"en","type":"article","venue":"Open Geosciences","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Environmental science; Quantitative precipitation forecast; Precipitation; Hydrograph; Surface runoff; Advanced very-high-resolution radiometer; Runoff model; Flood forecasting; Flash flood; Drainage basin; Flood myth; Meteorology; Climatology; Hydrology (agriculture); Satellite; Geology; 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":[0.0008275108,0.0005472414,0.0003546517,0.0003695778,0.0001975548,0.0005517998,0.0005553648,0.0005650061,0.0004100308],"category_scores_gemma":[0.001395009,0.0003040933,0.0005486928,0.0003106709,0.0002618768,0.0004077299,0.0002697799,0.0003924843,0.0000843727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001091654,"about_ca_system_score_gemma":0.0006227808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05078818,"about_ca_topic_score_gemma":0.02184559,"domain_scores_codex":[0.9997495,0.00009437476,0.00002302524,0.0000665602,0.00003338384,0.00003322174],"domain_scores_gemma":[0.9991731,0.0003843632,0.0000869947,0.00008923516,0.0001806026,0.00008577153],"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":[0.0003155299,0.0002755434,0.0971188,0.00004609388,0.00009419782,0.0001655471,0.00008150689,0.894417,0.003280558,0.0001675168,0.0002500875,0.003787611],"study_design_scores_gemma":[0.00004359108,0.0001457537,0.04189445,0.000005702196,0.00001733874,0.00001564354,0.00006098494,0.9552885,0.002337103,0.00005082268,0.0001246669,0.0000154135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986396,0.00001285446,0.0006554977,0.00002432108,0.000004053452,0.00001653527,0.0003247574,0.00006819631,0.0002542127],"genre_scores_gemma":[0.9991829,0.000006371778,0.0004854956,0.000003324363,0.000001080697,0.000009403257,0.0002318632,0.000003354146,0.00007610266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05078818,"threshold_uncertainty_score":0.1009851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09418735261311346,"score_gpt":0.3566035387543351,"score_spread":0.2624161861412216,"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."}}