{"id":"W2074256124","doi":"10.1623/hysj.53.5.961","title":"Evaluation of streamflow simulation by SWAT model for two small watersheds under snowmelt and rainfall","year":2008,"lang":"en","type":"article","venue":"Hydrological Sciences Journal","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; SNC-Lavalin (Canada)","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Snowmelt; Environmental science; Snowpack; Soil and Water Assessment Tool; Streamflow; SWAT model; Calibration; Snow; Hydrology (agriculture); Climatology; Water year; Meteorology; Water resources; Watershed; Drainage basin; Statistics; Geography; Computer science; Mathematics; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004283495,0.0008247454,0.0004189666,0.0003712927,0.00075533,0.0006235597,0.0009367718,0.0008753188,0.0009876742],"category_scores_gemma":[0.0008140302,0.0002775053,0.000589497,0.000416817,0.0005218387,0.0003231764,0.0002625798,0.000532764,0.0001085936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002860474,"about_ca_system_score_gemma":0.002443981,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5339224,"about_ca_topic_score_gemma":0.4183953,"domain_scores_codex":[0.9998513,0.00002641075,0.00000847598,0.00003756901,0.00003430498,0.00004182864],"domain_scores_gemma":[0.9994841,0.0001703809,0.00003887926,0.00003409945,0.0001859777,0.00008654829],"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":[0.0002300874,0.0002731271,0.02666872,0.00002781079,0.00004525136,0.0001485794,0.00007644186,0.9620218,0.004556191,0.0001938212,0.0004669744,0.005291288],"study_design_scores_gemma":[0.00002445984,0.00003446662,0.006424215,0.000001488761,0.000007077093,0.000003744444,0.00002657616,0.992324,0.00104416,0.00001767901,0.00008632203,0.000005843501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972941,0.00001542823,0.001505723,0.00003466995,0.000006818127,0.00002520977,0.0002725323,0.0002403461,0.0006051401],"genre_scores_gemma":[0.9977306,0.00001450498,0.001516377,0.000007746577,0.000001448631,0.00001706518,0.0003872846,0.00001494631,0.0003101491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5339224,"threshold_uncertainty_score":0.9376449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1026209415680719,"score_gpt":0.3129131103266289,"score_spread":0.210292168758557,"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."}}