diff --git a/Project.toml b/Project.toml
index e9b88f2..b1e3f28 100644
--- a/Project.toml
+++ b/Project.toml
@@ -1,7 +1,7 @@
 name = "StatisticalMeasures"
 uuid = "a19d573c-0a75-4610-95b3-7071388c7541"
 authors = ["Anthony D. Blaom <anthony.blaom@gmail.com>"]
-version = "0.1.3"
+version = "0.1.4"
 
 [deps]
 CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
@@ -39,6 +39,7 @@ PrecompileTools = "1.1"
 ScientificTypes = "3"
 ScientificTypesBase = "3"
 StatisticalMeasuresBase = "0.1"
+Statistics = "1"
 StatsBase = "0.33, 0.34"
 julia = "1.6"
 
diff --git a/docs/src/examples_of_usage.md b/docs/src/examples_of_usage.md
index 0428d5c..43f4b07 100644
--- a/docs/src/examples_of_usage.md
+++ b/docs/src/examples_of_usage.md
@@ -299,7 +299,7 @@ import LossFunctions as LF
 loss = Measure(LF.L1HingeLoss())
 ```
 
-This loss can only called on scalars (true for LossFunctions.jl losses since v0.10):
+This loss can only be called on scalars (true for LossFunctions.jl losses since v0.10):
 
 ```@example 28
 using CategoricalArrays
diff --git a/src/finite.jl b/src/finite.jl
index ced11c9..96ce027 100644
--- a/src/finite.jl
+++ b/src/finite.jl
@@ -500,7 +500,7 @@ const FScoreType = API.FussyMeasure{<:API.RobustMeasure{<:_FScore}}
 
 # Allow callable on confusion matrices:
 (measure::FScoreType)(cm::ConfusionMatrices.ConfusionMatrix) =
-        ConfusionMatrices.fscore(cm, measures.beta)
+        ConfusionMatrices.fscore(cm, measure.beta)
 
 # these traits will be inherited by `FScore`:
 @trait(