Fix missing refs

paper.bib

@@ -1716,3 +1716,40 @@ @MISC{Cheng2006-qe
   pages   = "566--574",
   year    =  2006
 }
+
+@article{Dupre2022-iro,
+  title={Beyond advertising: New infrastructures for publishing integrated research objects},
+  author={DuPre, Elizabeth and Holdgraf, Chris and Karakuzu, Agah and Tetrel, Lo{\"\i}c and Bellec, Pierre and Stikov, Nikola and Poline, Jean-Baptiste},
+  journal={PLOS Computational Biology},
+  doi = {10.1371/journal.pcbi.1009651},
+  volume={18},
+  number={1},
+  pages={e1009651},
+  year={2022},
+  publisher={Public Library of Science San Francisco, CA USA}
+}
+
+@article{Harding2023-conp,
+	title = {The {Canadian} {Open} {Neuroscience} {Platform}—{An} open science framework for the neuroscience community},
+	volume = {19},
+	url = {10.1371/journal.pcbi.1011230},
+	doi = {10.1371/journal.pcbi.1011230},
+	abstract = {The Canadian Open Neuroscience Platform (CONP) takes a multifaceted approach to enabling open neuroscience, aiming to make research, data, and tools accessible to everyone, with the ultimate objective of accelerating discovery. Its core infrastructure is the CONP Portal, a repository with a decentralized design, where datasets and analysis tools across disparate platforms can be browsed, searched, accessed, and shared in accordance with FAIR principles. Another key piece of CONP infrastructure is NeuroLibre, a preprint server capable of creating and hosting executable and fully reproducible scientific publications that embed text, figures, and code. As part of its holistic approach, the CONP has also constructed frameworks and guidance for ethics and data governance, provided support and developed resources to help train the next generation of neuroscientists, and has fostered and grown an engaged community through outreach and communications. In this manuscript, we provide a high-level overview of this multipronged platform and its vision of lowering the barriers to the practice of open neuroscience and yielding the associated benefits for both individual researchers and the wider community.},
+	number = {7},
+	journal = {PLOS Computational Biology},
+	author = {Harding, Rachel J. and Bermudez, Patrick and Bernier, Alexander and Beauvais, Michael and Bellec, Pierre and Hill, Sean and Karakuzu, Agah and Knoppers, Bartha M. and Pavlidis, Paul and Poline, Jean-Baptiste and Roskams, Jane and Stikov, Nikola and Stone, Jessica and Strother, Stephen and Consortium, CONP and Evans, Alan C.},
+	month = jul,
+	year = {2023},
+	note = {Publisher: Public Library of Science},
+	pages = {1--14},
+}
+
+@misc{Karakuzu2022-nlwf,
+ title={NeuroLibre : A preprint server for full-fledged reproducible neuroscience},
+ url={osf.io/h89js},
+ DOI={10.31219/osf.io/h89js},
+ publisher={OSF Preprints},
+ author={Karakuzu, Agah and DuPre, Elizabeth and Tetrel, Loic and Bermudez, Patrick and Boudreau, Mathieu and Chin, Mary and Poline, Jean-Baptiste and Das, Samir and Bellec, Pierre and Stikov, Nikola},
+ year={2022},
+ month={Apr}
+}

paper.md

@@ -228,7 +228,7 @@ Lastly, we acknowledge use of ChatGPT (v3), a generative language model, for acc
 
  \awesomebox[red]{2pt}{\faExclamationCircle}{red}{\textbf{NOTE}}
 
- > The following section in this document repeats the narrative content exactly as                     found in the [corresponding NeuroLibre Reproducible Preprint (NRP)](https://preprint.neurolibre.org/10.55458/neurolibre.00023). The content was                     automatically incorporated into this PDF using the NeuroLibre publication workflow [@Karakuzu2022-nlwf] to                     credit the referenced resources. The submitting author of the preprint has verified and approved the                     inclusion of this section through a GitHub pull request made to the [source repository](https://www.github.com/rrsg2020/note) from which this document was built.                     Please note that the figures and tables have been excluded from this (static) document. **To interactively explore such outputs and re-generate them, please visit the corresponding [NRP](https://preprint.neurolibre.org/10.55458/neurolibre.00023).**                     For more information on integrated research objects (e.g., NRPs) that bundle narrative and executable content for reproducible and transparent publications,                     please refer to @Dupre2022-iro. NeuroLibre is sponsored by the Canadian Open Neuroscience Platform (CONP) [@Harding2023-conp].
+ > The following section in this document repeats the narrative content exactly as                     found in the [corresponding NeuroLibre Reproducible Preprint (NRP)](https://preprint.neurolibre.org/10.55458/neurolibre.00023). The content was                     automatically incorporated into this PDF using the NeuroLibre publication workflow [@Karakuzu2022-nlwf] to                     credit the referenced resources. The submitting author of the preprint has verified and approved the                     inclusion of this section through a GitHub pull request made to the [source repository](https://www.github.com/rrsg2020/note) from which this document was built.                     Please note that the figures and tables have been excluded from this (static) document. **To interactively explore such outputs and re-generate them, please visit the corresponding [NRP](https://preprint.neurolibre.org/10.55458/neurolibre.00023).**                     For more information on integrated research objects (e.g., NRPs) that bundle narrative and executable content for reproducible and transparent publications,                     please refer to [@Dupre2022-iro]. NeuroLibre is sponsored by the Canadian Open Neuroscience Platform (CONP) [@Harding2023-conp].