diff --git a/TODO.md b/TODO.md
index 9b25023..ce05f0a 100644
--- a/TODO.md
+++ b/TODO.md
@@ -1,8 +1,10 @@
 # TODO
-* [from Leïla] Add flagging based on CPC flags
-* [from Leïla] Correct calibration_params copying
-* [from Leïla] Plot for auto flags visualization should be able to zoom in vertically
-* [from Leïla] Remove inletP column in level 2 .nas data
+* [from Leïla] Correct error when flags are loaded in the flagging app
+* [from Leïla] End the file at end of year (or filter only current year)
+* [from Leïla] Change "9999.999" to "9999999.9999" in header
+* [from Leïla] Update Detection limit values in L2 header: take the ones (1h) from limits_of_detection.yaml
+* [from Leïla] For PAY, calculate error as 50% of concentration
+* [from Leïla] Correct errors (uncertainties) that they can't be lower than 0.0001
 * [from Leïla] Change flow rate values to 10% of flow rate ref
 * [New] Create data flows to validate and replace existing data chain params. data/campaignData/param/ -> pipelines/params and campaignDescriptor.yaml -> acsm data converter.
 * [New] DIMA. Add dictionaries to explain variables at different levels.
diff --git a/campaignDescriptor.yaml b/campaignDescriptor.yaml
index 9739a70..1444f52 100644
--- a/campaignDescriptor.yaml
+++ b/campaignDescriptor.yaml
@@ -30,8 +30,10 @@ originator:
   email: leila.simon@psi.ch
   affiliation: Paul Scherrer Institute, PSI
   department: Laboratory of Atmospheric Chemistry
-  city: Villigen PSI
+  address_line_1: ""
+  address_line_2: ""
   postal_code: 5232
+  city: Villigen PSI
   country: Switzerland
 
 submitter:
@@ -39,6 +41,8 @@ submitter:
   email: leila.simon@psi.ch
   affiliation: Paul Scherrer Institute, PSI
   department: Laboratory of Atmospheric Chemistry
-  city: Villigen PSI
+  address_line_1: ""
+  address_line_2: ""
   postal_code: 5232
+  city: Villigen PSI
   country: Switzerland
diff --git a/pipelines/steps/generate_flags.py b/pipelines/steps/generate_flags.py
index dd56015..3eb571c 100644
--- a/pipelines/steps/generate_flags.py
+++ b/pipelines/steps/generate_flags.py
@@ -264,7 +264,7 @@ def generate_species_flags(data_table : pd.DataFrame, calib_param_dict : dict, f
 
     numflag_columns = [col for col in data_table.columns if 'numflag_' in col]
 
-    if interpolated_cpc_flags:
+    if len(interpolated_cpc_flags)>0:
 
         data_table = reconcile_flags(data_table, interpolated_cpc_flags, 0, interpolated_cpc_flags.size, numflag_columns)