{"id":"W1003154759","doi":"10.11113/mjce.v25n2.305","title":"IMPROVEMENT OF STREAMFLOW SIMULATION FOR GAUGED SITE OF HYDROLOGICAL MODEL","year":2013,"lang":"en","type":"article","venue":"","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Streamflow; Hydrometeorology; Hydrograph; Environmental science; Flood forecasting; Hydrological modelling; Hydrology (agriculture); Precipitation; Drainage basin; Meteorology; Climatology; 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":[0.0004986083,0.0002598438,0.0003152442,0.0002431243,0.0002131766,0.0002338277,0.0006379307,0.0003013958,0.001584958],"category_scores_gemma":[0.001265167,0.0001365855,0.0003344813,0.0002403441,0.0001147133,0.0003380924,0.0002738146,0.0005488939,0.0002645936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003386814,"about_ca_system_score_gemma":0.0005673611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009696,"about_ca_topic_score_gemma":0.007024526,"domain_scores_codex":[0.99983,0.0000565142,0.000008916826,0.00003499359,0.00005227397,0.00001717641],"domain_scores_gemma":[0.9996874,0.00008791938,0.00002598101,0.00006444305,0.0001176804,0.00001665316],"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":[0.00004803325,0.0000711736,0.003463294,0.0000245599,0.00002364359,0.00004429979,0.00004109317,0.9440237,0.007872285,0.001273194,0.0005960995,0.04251863],"study_design_scores_gemma":[0.000004333065,0.000008808729,0.0004215837,9.419276e-7,0.000001871143,0.000002670079,0.00000171709,0.9981518,0.00109627,0.0001180225,0.0001902572,0.000001684761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3071938,0.00007026177,0.6830989,0.0001338317,0.00005498807,0.0001292736,0.0004300504,0.002976714,0.005912235],"genre_scores_gemma":[0.883064,0.00003823296,0.1150557,0.0000200649,0.00001320648,0.0001015964,0.0003374451,0.0001092141,0.001260709],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009696,"threshold_uncertainty_score":0.01927912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0234244262893942,"score_gpt":0.2513187940347455,"score_spread":0.2278943677453513,"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."}}