Result-Review-O3b-lensing.md

@@ -17,6 +17,9 @@ This repository deals with the result review of the machine learning based pipel
 
 Can be found [here](https://git.ligo.org/srashti.goyal/lensid/-/wikis/Result-Review-Final-Statement)
 
+## Additional Review Statement: Targeted Sub-threshold Search
+Can be found [here](https://git.ligo.org/srashti.goyal/lensid/-/wikis/Result-Review-Final-Statement-Subthreshold)
+
 ### Reviewer: Jean-Rene Cudell
 
 Final Sign-off: :heavy_check_mark: 
@@ -68,7 +71,7 @@ In progress: [page](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/wikis/O3-r
 | [sub_data_download_prep.py](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/subthreshold/sub_data_download_prep.py) | Subthreshold candidates data downloading and preparing Qtransforms and input sky features for ML analysis | JRC: OK |09e01c8972074ee4f44120afb9095ea76c458c9f | --------- | :heavy_check_mark: |
 | [config_O3_super_sub_events_24022022.yaml](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/subthreshold/configs/config_O3_super_sub_events_24022022.yaml) | Config used for producing the preliminary results with the `lensid_make_predictions` command line. | JRC: OK | 09e01c8972074ee4f44120afb9095ea76c458c9f | --------- | :heavy_check_mark: |
 | [get_candidates_super_sub.ipynb](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/subthreshold/get_candidates_super_sub.ipynb) | Notebook for loading the results and sorting candidates | JRC: OK |09e01c8972074ee4f44120afb9095ea76c458c9f | --------- | :heavy_check_mark: |
-| [test_super_sub_pairs.ipynb](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/subthreshold/test_super_sub_pairs.ipynb) | Notebook for testing the machines that are trained on super-super pairs on the super-sub pairs. The performance is okay, can be improved by retraining on super-sub dataset(after generating). |  | JRC: OK- | 09e01c8972074ee4f44120afb9095ea76c458c9f | :heavy_check_mark: |
+| [test_super_sub_pairs.ipynb](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/subthreshold/test_super_sub_pairs.ipynb) | Notebook for testing the machines that are trained on super-super pairs on the super-sub pairs. The performance is okay, can be improved by retraining on super-sub dataset(after generating). |  JRC: OK- | 09e01c8972074ee4f44120afb9095ea76c458c9f | --| :heavy_check_mark: |
 # Meetings
 
 ## 3 December 2021