Further updates and language change

docs/paper.md

@@ -38,6 +38,8 @@ The software repository can be found at [https://github.com/nci/scores/](https:/
 
 The research purpose of this software is (a) to mathematically verify and validate scientific research and (b) to foster research into new scores and metrics.
 
+## Key Benefits
+
 `scores` includes novel scores not commonly found elsewhere (e.g. FIRM, FlipFlop index), complex scores (e.g. threshold weighted CRPS), more common scores (e.g. MAE, RMSE) and statistical tests (such as the Diebold Mariano test). Scores provides its own implementations where relevant to avoid extensive dependencies. 
 
 `scores` works with n-dimensional data (e.g., geospatial, vertical and temporal dimensions) for both point-based and gridded data. It has proper treatments for missing data, masking of data and weighting of results.
@@ -46,16 +48,20 @@ The research purpose of this software is (a) to mathematically verify and valida
 
 `scores` is highly modular and has a minimal set of requirements. It is intended to be easy to integrate and utilise in a wide variety of environments. It has been tested and used on workstations, servers and in high performance computing (supercomputing) environments. 
 
+## Roadmap and Future Development
+
 The `scores` roadmap includes support for machine learning library integration, further optimisation of existing scores and the addition of more scoring functions for verification purposes.
 
 `scores` has an area specifically to hold emerging scores which are still undergoing research and development. This provides a clear mechanism for people to share, access and collaborate on new scores, and be able to easily re-use versioned implementations of those scores. 
 
-`scores` has been used in research papers (e.g., [@loveday2023userfocused]).
+## Use in Academic Literature
 
-## Related Works
+`scores` has been used in research papers (e.g., [@loveday2023userfocused]).
 
 `scores` has arisen from, and now supports, the Jive verification system, described by [@Loveday:2023]. `scores` includes the mathematical functions from this package and is intended to modularise these components. The Jive metrics have been used by [@Griffiths:2017], [@Foley:2020], [@Taggart:2022b], [@Taggart:2022c] and [@Taggart:2022d].
 
+## Related Works
+
 `climpred` [@Brady:2021] provides some related functionality and provides many of the same scores. `climpred` does not contain some of the novel functions contained within `scores`, and at the same time makes some design choices specifically associated with climate modelling which do not generalise as effectively to broader use cases as may be needed in some circumstances. Releasing `scores` separately allows the differing design philosophies to be considered by the community.
 
 `xskillscore` [@xskillscore] provides many of the same functions as `scores`. `xskillscore` does not contain some of the novel functions contained within `scores` and does not contain the Jupyter Notebook tutorials which provide users with clear guidance on the use of the verification metrics.