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[PRE REVIEW]: GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data #3894
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Hello human, I'm @whedon, a robot that can help you with some common editorial tasks. Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post. For a list of things I can do to help you, just type:
For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:
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@NoraLoose - while we find an editor, can you work on the possibly missing DOI and the incorrect DOI that whedon suggests, but note that some may be incorrect. Please feel free to make changes to your .bib file, then use the command |
👋 @elbeejay - do you think you could edit this submission for JOSS? |
@elbeejay has been invited to edit this submission. |
@kthyng - just pinging you as well, since this falls into your area, but you currently don't have editing slots open |
Thanks @danielskatz for handling our submission and looking for an editor!
Yes, working on it! |
@whedon check references |
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@whedon check references |
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I followed the dask documentation in how to cite dask:
Unfortunately, there is no DOI for this citation, and the DOI that @whedon suggests is not correct. (Instead, it is the DOI for a paper by M. Rocklin.) |
@whedon generate pdf |
PDF failed to compile for issue #3894 with the following error:
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@whedon generate pdf |
@whedon assign me as editor |
OK, the editor is @elbeejay |
@NoraLoose can you try switching the bib entry-type for |
@whedon generate pdf |
OK, @callumrollo is now a reviewer |
Hi @elbeejay. I'm only working part time at the moment and wouldn't be able to do this in any sort of reasonable time frame, so I will need to decline this time. Sorry. |
No problem, thanks for letting us know! |
👋 @AleksiNummelin, would you be willing to review this submission to JOSS? I think your experience working on ocean and climate dynamics using Python would allow you to provide an insightful review. At JOSS we do checklist-driven reviews, the JOSS review criteria can be found here. The submission is "GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data". This is a pre-review issue which is used to find reviewers. Once 2 or 3 reviewers have been found I'll start the review on a dedicated GitHub issue. At present we are asking reviewers to complete reviews in 6 weeks, although this can be extended if needed. If you are not able to review but can recommend someone else, please mention them here (in this case please mention their GitHub handle without the "@" symbol). If you are interested, please take a look at the journal's conflict of interest policy to ensure you do not have a conflict before agreeing to review this submission. Thank you, feel free to reach out if you have any questions about the JOSS review process. Please do not feel any pressure to accept this review request if you do not have the time or do not feel comfortable reviewing this software package, we appreciate and respect our peer-reviewers' time. |
Hi @elbeejay, I'd be happy to review, I have tested the tool already so this is a good chance to look through the code properly. I will be busy for the next 2 weeks so expect little progress, but after that I'd expect to submit the review relatively quickly. To be completely open (in accordance with the JOSS spirit), I want to declare that I know the first author well as we worked in the same university before, but we don't have shared publications nor do I have any trouble in providing an impartial assessment (there is no formal conflict of interest). |
Awesome @AleksiNummelin, sounds like you'll be able to provide perspectives as both a real user and fellow developer. Thank you for being clear about your relationship with the lead-author, I agree that it does not sound like a true COI. |
@whedon add @AleksiNummelin as reviewer |
OK, @AleksiNummelin is now a reviewer |
👋 @isgiddy, would you be willing to review this submission to JOSS? I think your experience as an ocean scientist would allow you to provide the authors with a constructive review. At JOSS we do checklist-driven reviews, the JOSS review criteria can be found here. The submission is "GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data". This is a pre-review issue which is used to find reviewers. Once 2 or 3 reviewers have been found I'll start the review on a dedicated GitHub issue. At present we are asking reviewers to complete reviews in 6 weeks, although this can be extended if needed. If you are interested, please take a look at the journal's conflict of interest policy to ensure you do not have a conflict before agreeing to review this submission. Thank you, feel free to reach out if you have any questions about the JOSS review process. Please do not feel any pressure to accept this review request if you do not have the time or do not feel comfortable reviewing this software package, we appreciate and respect our peer-reviewers' time. |
Hey @elbeejay! Just another thought: in case we are still short on reviewers, here are two more suggestions:
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Thank you, yes I am hoping to find one more reviewer before we move from "pre-review" to the "review" itself. |
Hi @elbeejay. This looks interesting and I'd be happy to learn more about this filtering technique and wider applications via the review process. |
Awesome, thanks! |
OK, @isgiddy is now a reviewer |
@whedon start review |
OK, I've started the review over in #3947. |
Submitting author: @NoraLoose (Nora Loose)
Repository: https://github.com/ocean-eddy-cpt/gcm-filters
Version: v0.1.3
Editor: @elbeejay
Reviewers: @callumrollo, @AleksiNummelin, @isgiddy
Managing EiC: Daniel S. Katz
Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post.
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Thanks for submitting your paper to JOSS @NoraLoose. Currently, there isn't an JOSS editor assigned to your paper.
@NoraLoose if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). In addition, this list of people have already agreed to review for JOSS and may be suitable for this submission (please start at the bottom of the list).
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