Result-Review-O4a.md

@@ -4,7 +4,7 @@ This repository deals with the result review of the machine learning-based pipel
 
 The automation wrapper : [alensidforlensingflow](https://git.ligo.org/srashti.goyal/alensidforlensingflow)
 
-LensID O4 MDC : [lensing_mdc_o4](https://git.ligo.org/srashti.goyal/lensing_mdc_o4)
+LensID O4 MDC : [lensing_mdc_o4](https://git.ligo.org/srashti.goyal/lensing_mdc_o4), [report](https://docs.google.com/document/d/1E2YMPxJygVUoE8p-7ZQsw8HVnPrKjLVNPOaInQpqBJ0/edit?tab=t.0#heading=h.40a7cxgjtcyf)
 
 O4a repo: [lensid-ml-o4](https://git.ligo.org/srashti.goyal/lensid-ml-o4)
 
@@ -211,7 +211,7 @@ The review call happen on Wednesdays 1 PM CEST/ 4:30 PM IST virtual IFPA room: h
 ## 8 November 2023
 
 * We discussed the integration of lensid with the lensing flow and visited the new package : https://git.ligo.org/srashti.goyal/alensidforlensingflow
-* JR suggested to use O4a real noise PSDs for the training and testing of the final ML model for the production runs. (detchar)\[https://ldas-jobs.ligo-wa.caltech.edu/~detchar/summary\\\]
+* JR suggested to use O4a real noise PSDs for the training and testing of the final ML model for the production runs. (detchar)\[https://ldas-jobs.ligo-wa.caltech.edu/~detchar/summary\\\\]
 * We are still unsure about the inclusion of the population and the time delay lensing priors for the follow-up strategy.
 
 ## Action items