diff --git a/emodel_generalisation/bluecellulab_evaluator.py b/emodel_generalisation/bluecellulab_evaluator.py
index 4fbe8e8..971f879 100644
--- a/emodel_generalisation/bluecellulab_evaluator.py
+++ b/emodel_generalisation/bluecellulab_evaluator.py
@@ -1,4 +1,6 @@
 """Compute the threshold and holding current using bluecellulab, adapted from BluePyThresh."""
+
+import os
 import logging
 from copy import copy
 from multiprocessing.context import TimeoutError  # pylint: disable=redefined-builtin
@@ -325,4 +327,5 @@ def evaluate_currents(
             "timeout": timeout,
             "only_rin": only_rin,
         },
+        progress_bar=os.environ.get("NO_PROGRESS", False),
     )
diff --git a/emodel_generalisation/model/bpopt.py b/emodel_generalisation/model/bpopt.py
index a12ed61..93a9513 100644
--- a/emodel_generalisation/model/bpopt.py
+++ b/emodel_generalisation/model/bpopt.py
@@ -113,7 +113,8 @@ def calculate_bpo_score(self, responses):
 
         if feature_value is None:
             return self.max_score
-
+        if self.efel_feature_name == "peak_voltage":
+            print(feature_value, self.exp_mean, self.exp_std)
         return abs(feature_value - self.exp_mean) / self.exp_std
 
     def _construct_efel_trace(self, responses):
diff --git a/emodel_generalisation/model/evaluation.py b/emodel_generalisation/model/evaluation.py
index dfa3481..28176a7 100644
--- a/emodel_generalisation/model/evaluation.py
+++ b/emodel_generalisation/model/evaluation.py
@@ -1211,9 +1211,9 @@ def _add_legacy_protocol(self, protocol_name, protocol):
         if "extra_recordings" in protocol:
             for protocol_def in protocol["extra_recordings"]:
                 recordings.append(protocol_def)
-                protocol_def[
-                    "name"
-                ] = f"{protocol_name}.{protocol_def['name']}.{protocol_def['var']}"
+                protocol_def["name"] = (
+                    f"{protocol_name}.{protocol_def['name']}.{protocol_def['var']}"
+                )
 
         stimulus = deepcopy(protocol["stimuli"]["step"])
         if "holding" in protocol["stimuli"]:
@@ -1806,11 +1806,9 @@ def _single_feature_evaluation(
             ]:
                 evaluator.fitness_protocols["main_protocol"].protocols.pop(prot)
 
-                evaluator.fitness_protocols[
-                    "main_protocol"
-                ].execution_order = evaluator.fitness_protocols[
-                    "main_protocol"
-                ].compute_execution_order()
+                evaluator.fitness_protocols["main_protocol"].execution_order = (
+                    evaluator.fitness_protocols["main_protocol"].compute_execution_order()
+                )
 
     evaluator.cell_model.unfreeze(params)
     responses = evaluator.run_protocols(evaluator.fitness_protocols.values(), params)
@@ -1922,6 +1920,7 @@ def feature_evaluation(
             resume=resume,
             parallel_factory=parallel_factory,
             db_url=db_url,
+            progress_bar=os.environ.get("NO_PROGRESS", False),
         )
         .sort_values(by="index")
         .set_index("index")
@@ -2033,6 +2032,7 @@ def evaluate_rin_no_soma(
         resume=resume,
         parallel_factory=parallel_factory,
         db_url=db_url,
+        progress_bar=os.environ.get("NO_PROGRESS", False),
     )
 
 
@@ -2075,6 +2075,7 @@ def evaluate_soma_rin(
         resume=resume,
         parallel_factory=parallel_factory,
         db_url=db_url,
+        progress_bar=os.environ.get("NO_PROGRESS", False),
     )
 
 
@@ -2117,6 +2118,7 @@ def evaluate_ais_rin(
         resume=resume,
         parallel_factory=parallel_factory,
         db_url=db_url,
+        progress_bar=os.environ.get("NO_PROGRESS", False),
     )
 
 
@@ -2157,6 +2159,7 @@ def evaluate_somadend_rin(
         resume=resume,
         parallel_factory=parallel_factory,
         db_url=db_url,
+        progress_bar=os.environ.get("NO_PROGRESS", False),
     )