diff --git a/model-forecasts/component-models/FluOutlook_Mech/metadata.txt b/model-forecasts/component-models/FluOutlook_Mech/metadata.txt
index 2f5ee721..48c6c2a2 100644
--- a/model-forecasts/component-models/FluOutlook_Mech/metadata.txt
+++ b/model-forecasts/component-models/FluOutlook_Mech/metadata.txt
@@ -10,4 +10,4 @@ data_source4: Twitter
 data_source5: Population
 this_model_is_an_ensemble: TRUE
 methods: >-
-This forecasting method is a fully mechanistic model based on GLEAM, an epidemic stochastic generative model. At the begining of the flu season, GLEAM seeded by four different data sources (Athena, FluNearYou, Twitter, Population) generates four different forecasts for the flu profile. At each week along the flu season, the weekly ILI Net data is utilized in GLEAM to provide adaptive weekly forecast. The four weekly forecasts are combined by Bayesian Model Averaging to form the final forecast. 
+  This forecasting method is a fully mechanistic model based on GLEAM, an epidemic stochastic generative model. At the begining of the flu season, GLEAM seeded by four different data sources (Athena, FluNearYou, Twitter, Population) generates four different forecasts for the flu profile. At each week along the flu season, the weekly ILI Net data is utilized in GLEAM to provide adaptive weekly forecast. The four weekly forecasts are combined by Bayesian Model Averaging to form the final forecast.