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CITATION.cff

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# This CITATION.cff file was generated with cffinit.
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# Visit https://bit.ly/cffinit to generate yours today!
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cff-version: 1.2.0
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title: >-
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Using Large Language Models to support researchers
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reproduce and reuse unpublished health care discrete-event
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simulation computer models: a feasibility and pilot study
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in Python
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message: >-
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If you use this software, please cite it using the
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metadata from this file.
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type: software
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authors:
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- given-names: Thomas
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family-names: Monks
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orcid: 'https://orcid.org/0000-0003-2631-4481'
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affiliation: University of Exeter
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email: t.m.w.monks@exeter.ac.uk
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- given-names: Alison
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family-names: Harper
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affiliation: University of Exeter
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orcid: 'https://orcid.org/0000-0001-5274-5037'
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email: a.l.harper@exeter.ac.uk
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- given-names: Amy
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family-names: Heather
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email: a.heather2@exeter.ac.uk
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affiliation: University of Exeter
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orcid: 'https://orcid.org/0000-0002-6596-3479'
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- given-names: Navonil
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family-names: Mustafee
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orcid: 'https://orcid.org/0000-0002-2204-8924'
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affiliation: University of Exeter
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email: n.mustafee@exeter.ac.uk
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repository-code: 'https://github.com/pythonhealthdatascience/llm_simpy'
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license: MIT

README.md

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[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
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[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/release/python-360+/)
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[![PyPI version fury.io](https://badge.fury.io/py/treat-sim.svg)](https://pypi.org/project/treat-sim/)
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[![ORCID: Harper](https://img.shields.io/badge/ORCID-0000--0001--5274--5037-brightgreen)](https://orcid.org/0000-0001-5274-5037)
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[![ORCID: Monks](https://img.shields.io/badge/ORCID-0000--0003--2631--4481-brightgreen)](https://orcid.org/0000-0003-2631-4481)
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[![Licence: MIT](https://img.shields.io/badge/Licence-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
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[![Python 3.10+](https://img.shields.io/badge/-Python_≥_3.10-306998?logo=python&logoColor=white)](https://www.python.org/downloads/release/python-360+/)
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# Using Large Language Models to support researchers reproduce and reuse unpublished health care discrete-event simulation computer models: a feasibility and pilot study in Python
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## Authors
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* Thomas Monks [![ORCID: Monks](https://img.shields.io/badge/ORCID-0000--0003--2631--4481-brightgreen)](https://orcid.org/0000-0003-2631-4481)
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* Alison Harper [![ORCID: Harper](https://img.shields.io/badge/ORCID-0000--0001--5274--5037-brightgreen)](https://orcid.org/0000-0001-5274-5037)
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* Thomas Monks    [![ORCID: Monks](https://img.shields.io/badge/ORCID-0000--0003--2631--4481-brightgreen)](https://orcid.org/0000-0003-2631-4481)
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* Navonil Mustafee [![ORCID: Harper](https://img.shields.io/badge/ORCID-0000--0001--5274--5037-brightgreen)](https://orcid.org/0000-0002-2204-8924)
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* Alison Harper    [![ORCID: Harper](https://img.shields.io/badge/ORCID-0000--0001--5274--5037-brightgreen)](https://orcid.org/0000-0001-5274-5037)
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## Creating the virtual environment
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* Amy Heather    [![ORCID: Heather](https://img.shields.io/badge/ORCID-0000--0002--6596--3479-brightgreen)](https://orcid.org/0000-0002-6596-3479)
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* Navonil Mustafee    [![ORCID: Mustafee](https://img.shields.io/badge/ORCID-0000--0002--2204--8924-brightgreen)](https://orcid.org/0000-0002-2204-8924)
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## Creating the environment
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The project uses `conda` to manage dependencies. Navigate your terminal to the directory containing the code
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```
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conda env create -f binder/environment.yml
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```
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This will create a conda virtual environment called `gen_simpy`. To activate:
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This will create a conda environment called `gen_simpy`. To activate:
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```
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conda activate gen_simpy
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```
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This will build the HTML book locally on your machine. The terminal will display a URL link that you can use to point your browser at the HTML.
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## Citation
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Please cite this repository as:
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> Thomas Monks, Alison Harper, Amy Heather, and Navonil Mustafee. **Using Large Language Models to support researchers reproduce and reuse unpublished health care discrete-event simulation computer models: a feasibility and pilot study in Python**. <https://github.com/pythonhealthdatascience/llm_simpy>.
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A `CITATION.cff` file is also provided.
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<!--TODO: Archive repository on Zenodo, and cite that -->
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## Funding
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<!--TODO: Add funding statement-->

README.md.backup

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