diff --git a/.github/ISSUE_TEMPLATE/1-bug-report.yml b/.github/ISSUE_TEMPLATE/1-bug-report.yml
index 9d2b2a4c1..5bdbc2190 100644
--- a/.github/ISSUE_TEMPLATE/1-bug-report.yml
+++ b/.github/ISSUE_TEMPLATE/1-bug-report.yml
@@ -22,9 +22,9 @@ body:
       label: Minimal Reproducible Example (optional)
       description: Please include a short R code snippet that reproduces the problem, if possible.
       placeholder: 
-        e.g.\n\n
-        ```r<br>
-        ab_name("amoxicillin/clavulanic acid", language = "es")\n
+        e.g.  
+        ```r  
+        ab_name("amoxicillin/clavulanic acid", language = "es")  
         ```
     validations:
       required: false
diff --git a/DESCRIPTION b/DESCRIPTION
index bd3548c91..8c02fb89e 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: AMR
-Version: 3.0.1.9006
-Date: 2025-12-21
+Version: 3.0.1.9007
+Date: 2025-12-22
 Title: Antimicrobial Resistance Data Analysis
 Description: Functions to simplify and standardise antimicrobial resistance (AMR)
   data analysis and to work with microbial and antimicrobial properties by
diff --git a/NEWS.md b/NEWS.md
index 4bdca2899..b42ec4e79 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,4 +1,4 @@
-# AMR 3.0.1.9006
+# AMR 3.0.1.9007
 
 ### New
 * Integration with the **tidymodels** framework to allow seamless use of SIR, MIC and disk data in modelling pipelines via `recipes`
diff --git a/R/sysdata.rda b/R/sysdata.rda
index 3ebfc3526..83d49ec44 100755
Binary files a/R/sysdata.rda and b/R/sysdata.rda differ
diff --git a/data/antibiotics.rda b/data/antibiotics.rda
index 65116b3bf..5b3331ad5 100644
Binary files a/data/antibiotics.rda and b/data/antibiotics.rda differ
diff --git a/vignettes/AMR_with_tidymodels.Rmd b/vignettes/AMR_with_tidymodels.Rmd
index 9e6b2da02..00583f05e 100644
--- a/vignettes/AMR_with_tidymodels.Rmd
+++ b/vignettes/AMR_with_tidymodels.Rmd
@@ -315,7 +315,7 @@ fitted <- fit(workflow_model, training_data)
 
 # Generate predictions
 predictions <- predict(fitted, testing_data) %>%
-  bind_cols(predict(fitted, out_testing, type = "prob")) %>% # add probabilities
+  bind_cols(predict(fitted, testing_data, type = "prob")) %>% # add probabilities
   bind_cols(testing_data)
 
 # Evaluate model performance