diff --git a/science.ipynb b/science.ipynb
index 6f7faca9d8c15b039c6d2244891a7c67bb1b774e..5d7716e33f0f60a9590bd40fee2452f6a46508fb 100644
--- a/science.ipynb
+++ b/science.ipynb
@@ -43,14 +43,13 @@
     "import plotly.express as px\n",
     "import pandas as pd\n",
     "from random import sample\n",
-    "#import click\n",
     "from scipy.stats import pearsonr\n",
     "from science_access.t_analysis import not_want_list\n",
     "import seaborn as sns\n",
     "\n",
-    "#not_want_list.extend(\n",
-    "#    [\"link\", \"librarian\", \"issue\", \"abstract\", \"science\", \"cookie\", \"publication\"]\n",
-    "#)\n",
+    "not_want_list.extend(\n",
+    "    [\"link\", \"librarian\", \"issue\", \"abstract\", \"science\", \"cookie\", \"publication\"]\n",
+    ")\n",
     "\n",
     "from science_access.online_app_backend import call_from_front_end\n",
     "from science_access.online_app_backend import ar_manipulation\n",
@@ -214,21 +213,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 32,
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "ValueError",
-     "evalue": "too many values to unpack (expected 2)",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-9-0bd55a6823f7>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0mauthor_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"Sayali Phatak\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0;34m(\u001b[0m\u001b[0mauthor_numCitedBy\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mauthor_standard\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdo_science\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mauthor_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      9\u001b[0m \u001b[0mmulti_author_frame\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconcat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mmulti_author_frame\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mValueError\u001b[0m: too many values to unpack (expected 2)"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "author_name=\"David Grayden\"\n",
     "(author_numCitedBy,author_standard,df) = do_science(author_name)\n",