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Add chemRxiv citation
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mtdhuynh committed Sep 20, 2024
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15 changes: 15 additions & 0 deletions README.md
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![Python](https://img.shields.io/badge/Python-3.8%20%7C%203.9%20%7C%203.10%20%7C%203.11%20%7C%203.12.1-blue)
![version](https://img.shields.io/badge/Version-v0.1.1-green)
[![License](https://img.shields.io/badge/License-BSD_3--Clause-red.svg)](https://opensource.org/licenses/BSD-3-Clause)
[![chemRxiv](https://img.shields.io/badge/chemRxiv-10.26434%2Fchemrxiv--2024--fmbgk-yellow)](https://doi.org/10.26434/chemrxiv-2024-fmbgk)


## Introduction
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`UNIQUE` is licensed under the BSD 3-Clause License. See the [LICENSE](./LICENSE.md) file.


## Cite Us

If you find `UNIQUE` helpful for your work and/or research, please consider citing our work:

```bibtex
@misc{lanini2024unique,
title={UNIQUE: A Framework for Uncertainty Quantification Benchmarking},
author={Lanini, Jessica and Huynh, Minh Tam Davide and Scebba, Gaetano and Schneider, Nadine and Rodr{\'\i}guez-P{\'e}rez, Raquel},
year={2024},
doi={https://doi.org/10.26434/chemrxiv-2024-fmbgk},
}
```


## Contacts & Acknowledgements

For any questions or further details about the project, please get in touch with any of the following contacts:
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13 changes: 13 additions & 0 deletions docs/source/development/contacts.md
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* **Nadine Schneider**, *nadine-1*[dot]*schneider*[at]*novartis*[dot]*com*
* **Raquel Rodríguez-Pérez**, *raquel*[dot]*rodriguez_perez*[at]*novartis.com*

## Cite Us

If you find `UNIQUE` helpful for your work and/or research, please consider citing our work:

```bibtex
@misc{lanini2024unique,
title={UNIQUE: A Framework for Uncertainty Quantification Benchmarking},
author={Lanini, Jessica and Huynh, Minh Tam Davide and Scebba, Gaetano and Schneider, Nadine and Rodr{\'\i}guez-P{\'e}rez, Raquel},
year={2024},
doi={https://doi.org/10.26434/chemrxiv-2024-fmbgk},
}
```

:::{image} ../_static/novartis_logo.png
:alt: Novartis logo
:align: center
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27 changes: 25 additions & 2 deletions docs/source/index.md
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version_badge: "![Version badge](https://img.shields.io/badge/Version-vUNIQUE-green)"
# See: https://github.com/executablebooks/MyST-Parser/issues/279#issuecomment-752948379
license_badge: |
:::{image} https://img.shields.io/badge/License-BSD_3--Clause-red.svg
:::{image} https://img.shields.io/badge/License-BSD_3--Clause-red
:alt: License
:target: https://opensource.org/licenses/BSD-3-Clause
:::
article_badge: |
:::{image} https://img.shields.io/badge/chemRxiv-10.26434%2Fchemrxiv--2024--fmbgk-yellow
:alt: Paper's DOI
:target: https://doi.org/10.26434/chemrxiv-2024-fmbgk
:::
high_level_schema: |
:::{figure} _static/schema_high_level.png
:alt: UNIQUE High-Level Schema
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# Welcome to `UNIQUE`'s documentation!

{{python_versions}} {{version_badge | replace("UNIQUE", version)}} {{license_badge}}
{{python_versions}} {{version_badge | replace("UNIQUE", version)}} {{license_badge}} {{article_badge}}

{{logo_light}} {{logo_dark}}

## Introduction

`UNIQUE` provides methods for quantifying and evaluating the uncertainty of Machine Learning (ML) models predictions. The library allows to:
* combine and benchmark multiple uncertainty quantification (UQ) methods simultaneously;
* evaluate the goodness of UQ methods against established metrics;
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{{high_level_schema}}

## Cite Us

If you find `UNIQUE` helpful for your work and/or research, please consider citing our work:

```bibtex
@misc{lanini2024unique,
title={UNIQUE: A Framework for Uncertainty Quantification Benchmarking},
author={Lanini, Jessica and Huynh, Minh Tam Davide and Scebba, Gaetano and Schneider, Nadine and Rodr{\'\i}guez-P{\'e}rez, Raquel},
year={2024},
doi={https://doi.org/10.26434/chemrxiv-2024-fmbgk},
}
```

To request more information, check out [Contacts & Acknowledgements](development/contacts.md#contacts--acknowledgements).


---

# Table of Contents
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