diff --git a/caliGraph.py b/caliGraph.py
index 2df423d..b868d5e 100755
--- a/caliGraph.py
+++ b/caliGraph.py
@@ -354,8 +354,10 @@ def scoreUnread(G, globMu, globStd, errorFac=-0.6):
                     node['se'] = globStd / math.sqrt(len(feedbacks))
                     feedbacks.append(node['std'])
                     weights.append(getWeightForType('sigma'))
-                    feedbacks.append(1-1/len(feedbacks))
-                    weights.append(getWeightForType('stability'))
+                    feedbacks.append(node['se'])
+                    weights.append(getWeightForType('se'))
+                    #feedbacks.append(1-1/len(feedbacks))
+                    #weights.append(getWeightForType('stability'))
                     node['mean'] = sum([fb*w for fb, w in zip(feedbacks, weights)])/len(feedbacks)
                     node['score'] = node['mean'] + errorFac*node['se']
                 else:
@@ -716,7 +718,7 @@ def train(gamma = 0.1):
                 weights[attr] = -0.1+random.random()*1.5
         else:
             weights[attr] += delta
-        if attr not in ['sigma', 'mu', 'stability']:
+        if attr not in ['sigma', 'mu', 'se']:
             weights[attr] = min(max(0, weights[attr]), 3)
         mse = evaluateFitness(books)
         if mse < best_mse: # got better