Expanded acronyms in the list of current scores

docs/paper.md

@@ -30,7 +30,7 @@ bibliography: paper.bib
 
 All of the scores and metrics in this package have undergone a thorough statistical and scientific review. Every score has a companion Jupyter Notebook tutorial demonstrating its use in practice.
 
-At the time of writing, the scores contained in this package are: MSE, MAE, RMSE, FIRM [@Taggart:2022a], CRPS for CDFs (including threshold-weighting, see [@Gneiting:2011]), the FlipFlop index [@Griffiths:2019; @griffiths2021circular], ROC curves, the quantile score, and the Murphy score [@Ehm:2016]. It also includes the Diebold-Mariano statistical test [@Diebold:1995] with both the [@Harvey:1997] and [@Hering:2011] modifications. Additionally it contains isotonic regression which is becoming an increasingly important tool in forecast verification and can be used to generate stable reliability diagrams [@dimitriadis2021stable].
+At the time of writing, the scores contained in this package are: Mean Squared Error (MSE), Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), the Fixed Risk Multicategorical (FIRM) score [@Taggart:2022a], Continuous Ranked Probability Score (CRPS) for Cumulative Distribution Functions (CDFs) (including threshold-weighting, see [@Gneiting:2011]), the FlipFlop index [@Griffiths:2019; @griffiths2021circular], Receiver Operating Characteristic (ROC) curves, the quantile score, and the Murphy score [@Ehm:2016]. It also includes the Diebold-Mariano statistical test [@Diebold:1995] with both the [@Harvey:1997] and [@Hering:2011] modifications. Additionally it contains isotonic regression which is becoming an increasingly important tool in forecast verification and can be used to generate stable reliability diagrams [@dimitriadis2021stable].
 
 The software repository can be found at [https://github.com/nci/scores/](https://github.com/nci/scores/).