paper fix

paper/paper.md

@@ -70,7 +70,7 @@ The results in @kim2019 highlight that MCBoost can improve classification accura
 @Barda2020covid demonstrate that Multi-Calibration can also be used to adjust an initial classifier for a new task. They re-calibrate a baseline model for predicting the risk of severe respiratory infection with data on COVID-19 fatality rates in subpopulations, resulting in an accurate and calibrated COVID-19 mortality prediction model.
 
 
-We hope that with `mcboost`, Multi-Calibration Boosting can be utilized by a wide community of developers and data scientists to audit and post-process prediction models and helps to promote fairness in machine learning and statistical estimation applications.
+We hope that `mcboost` lets Multi-Calibration Boosting be utilized by a wide community of developers and data scientists to audit and post-process prediction models, and helps to promote fairness in machine learning and statistical estimation applications.
 
 # Acknowledgements