Add book of why in bibliography and make minor fixes

paper/biblio.bib

@@ -38,14 +38,11 @@
 	Series = {ICAIL '19},
 	Title = {Why Machine Learning May Lead to Unfairness: Evidence from Risk Assessment for Juvenile Justice in Catalonia},
 	Url = {http://doi.acm.org/10.1145/3322640.3326705},
-	Year = {2019},
-	Bdsk-Url-1 = {http://doi.acm.org/10.1145/3322640.3326705},
-	Bdsk-Url-2 = {http://dx.doi.org/10.1145/3322640.3326705}}
+	Year = {2019}
+	}
 
 @article{pearl2010introduction,
 	Author = {Pearl, Judea},
-	Date-Added = {2019-08-02 06:37:23 +0000},
-	Date-Modified = {2019-08-02 06:37:23 +0000},
 	Journal = {The international journal of biostatistics},
 	Number = {2},
 	Publisher = {De Gruyter},
@@ -53,13 +50,19 @@
 	Volume = {6},
 	Year = {2010}}
 
+@book{bookofwhy,
+  title={The book of why: the new science of cause and effect},
+  author={Pearl, Judea and Mackenzie, Dana},
+  year={2018},
+  publisher={Basic Books},
+  address = {New York, USA}
+}
+
 @inproceedings{lakkaraju2017selective,
 	Acmid = {3098066},
 	Address = {New York, NY, USA},
 	Author = {Lakkaraju, Himabindu and Kleinberg, Jon and Leskovec, Jure and Ludwig, Jens and Mullainathan, Sendhil},
 	Booktitle = {Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
-	Date-Added = {2019-08-02 06:37:23 +0000},
-	Date-Modified = {2019-08-02 06:37:23 +0000},
 	Doi = {10.1145/3097983.3098066},
 	Isbn = {978-1-4503-4887-4},
 	Keywords = {evaluating machine learning algorithms, selective labels, unmeasured confounders, unobservables},