General-Review-(post-GW190814).md

@@ -88,7 +88,7 @@ marginalizing to compute posteriors and odds ratio
   * [X] the (updated) code can be run with minimal changes by cloning the repo
     - Review statement: this is true and is documented below for the [NSBH repo](https://git.ligo.org/reed.essick/o3-nsbh-mmax-model-selection). 
     - Note that the person running needs to convert all .json and .dat files to csv files by following the steps outlined in the README. 
-    - Commands run by reviewer and output are: 
+    - Commands run by reviewer and output are below, and the results are consistent with those contained in the [NSBH repo](https://git.ligo.org/reed.essick/o3-nsbh-mmax-model-selection) up to 10%
 ```
 [amanda.farah@ldas-grid mmax_review]$ git clone https://git.ligo.org/reed.essick/mmax-[amanda.farah@ldas-grid mmax_review]$ model-selection
 [amanda.farah@ldas-grid mmax_review]$ git fetch
@@ -97,6 +97,7 @@ marginalizing to compute posteriors and odds ratio
 [amanda.farah@ldas-grid mmax_review]$ conda activate mmax_review
 (mmax_review) [amanda.farah@ldas-grid mmax_review]$ conda install numpy
 (mmax_review) [amanda.farah@ldas-grid mmax_review]$ python setup.py install
+(mmax_review) [amanda.farah@ldas-grid mmax_review]$ cd ../
 (mmax_review) [amanda.farah@ldas-grid mmax_review]$ git clone https://git.ligo.org/reed.essick/o3-nsbh-mmax-model-selection.git
 (mmax_review) [amanda.farah@ldas-grid mmax_review]$ cd o3-nsbh-mmax-model-selection/
 (mmax_review) [amanda.farah@ldas-grid o3-nsbh-mmax-model-selection]$ for DAT in etc/*dat
@@ -134,7 +135,6 @@ GW200115-C01_PHMcombined_highspin_pesummary LEC-mtov-rtov
 GW200115-C01_PHMcombined_highspin_pesummary FC-mmax
 ```
 
-
 ---
 
 # Motivation