diff --git a/caliGraph.py b/caliGraph.py
index 9737daa..caa31b5 100755
--- a/caliGraph.py
+++ b/caliGraph.py
@@ -403,8 +403,7 @@ def scoreOpinions(G, globMu, globStd):
                 node['score'] = node['mean']
                 node['feedbacks'] = feedbacks
             else:
-                node['score'] = globMu - globStd
-            node['score'] = node['score'] / 2 + node['gpr_score']
+                node['score'] = None
 
 def scoreUnread(G, globMu, globStd):
     for n in list(G.nodes):
@@ -817,7 +816,7 @@ def genScores(G, books, calcPagerank=True):
     globMu, globStd = calcRecDist(G, books)
     if calcPagerank:
         runPagerank(G)
-    genGprScores(G, globMu, globStd, 'score', 'std')
+    genGprScores(G, globMu, globStd, 'score', 'se')
     #scoreOpinions(G, globMu, globStd)
     #scoreUnread(G, globMu, globStd)
     return globMu, globStd
diff --git a/py/gp.py b/py/gp.py
index d559881..ca05c6e 100644
--- a/py/gp.py
+++ b/py/gp.py
@@ -62,14 +62,14 @@ def genGprScores(G, globMu, globStd, scoreName='gpr_score', stdName='gpr_std'):
     X = []
     for n in G.nodes:
         node = G.nodes[n]
-        if 'rating' in node and node['rating']==None:
+        if not 'rating' in node or node['rating']==None:
             X.append(n)
     print('[\] Inferencing GP')
     y, stds = gpr.predict(X, return_std=True)
     i=0
     for n in G.nodes:
         node = G.nodes[n]
-        if 'rating' in node and node['rating']==None:
-            s, std = y[i], stds[i]
+        if not 'rating' in node or node['rating']==None:
+            s, std = y[i], sum([val[0] for val in stds[i]])
             i+=1
-            node[scoreName], node[stdName] = s, std
+            node[scoreName], node[stdName] = float(s), float(std)