diff --git a/models/dayabay_v0.py b/models/dayabay_v0.py
index 6175c214d6fee92a465f7061fd97da54afcdb99d..2a000d5f5f5c241d05ba56e8e7c9869ddc9cc4c2 100644
--- a/models/dayabay_v0.py
+++ b/models/dayabay_v0.py
@@ -4,12 +4,17 @@ from pathlib import Path
 
 from typing import Union, Tuple, List, Optional
 from pandas import DataFrame
+
 class ParametersWrapper(NestedMKDict):
 	def to_dict(self, **kwargs) -> list:
 		data = []
 		for k, v in self.walkitems():
 			k = '.'.join(k)
-			dct = v.to_dict(**kwargs)
+			try:
+				dct = v.to_dict(**kwargs)
+			except AttributeError:
+				continue
+
 			dct['path'] = k
 			data.append(dct)
 
@@ -22,6 +27,10 @@ class ParametersWrapper(NestedMKDict):
 		df = DataFrame(dct, columns=columns)
 		return df
 
+	def to_string(self, **kwargs) -> DataFrame:
+		df = self.to_df()
+		return df.to_string(**kwargs)
+
 	def to_latex(self, *, return_df: bool=False, **kwargs) -> Union[str, Tuple[str, DataFrame]]:
 		df = self.to_df(label_from='latex', **kwargs)
 		tex = df.to_latex(escape=False)
@@ -37,16 +46,20 @@ def model_dayabay_v0():
 	storage |= load_parameters({'path': 'ibd'      , 'load': datasource/'parameters/pdg2012.yaml'})
 	storage |= load_parameters({'path': 'detector' , 'load': datasource/'parameters/detector_nprotons_correction.yaml'})
 	storage |= load_parameters({'path': 'reactor'  , 'load': datasource/'parameters/reactor_thermal_power_nominal.yaml'})
-	storage |= load_parameters({'path': 'reactor'  , 'load': datasource/'parameters/detector_eres.yaml'})
+	storage |= load_parameters({'path': 'eres'     , 'load': datasource/'parameters/detector_eres.yaml'})
 
 	# from pprint import pprint
 	# pprint(storage.object, sort_dicts=False)
 
-	print(storage['parameter_node'].to_df())
+	print('Everything')
+	print(storage.to_df())
 
+	print('Parameters')
 	print(storage['parameter'].to_df())
 
+	print('Parameters (latex)')
 	print(storage['parameter'].to_latex())
 
+	print('Constants (latex)')
 	tex = storage['parameter.constant'].to_latex(columns=['path', 'value', 'label'])
 	print(tex)