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[REVIEW]: HARDy: Handling Arbitrary Recognition of Data in Python #3829
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Hello human, I'm @whedon, a robot that can help you with some common editorial tasks. @andrewtarzia, @alberto-battistel it looks like you're currently assigned to review this paper 🎉. 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. ⭐ Important ⭐ If you haven't already, you should seriously consider unsubscribing from GitHub notifications for this (https://github.com/openjournals/joss-reviews) repository. As a reviewer, you're probably currently watching this repository which means for GitHub's default behaviour you will receive notifications (emails) for all reviews 😿 To fix this do the following two things:
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I have read the manuscript and very excited to review and test out this software! Created some issues about getting started and installation, which has not been smooth for me - although I acknowledge that it could be because I have not used TensorFlow before and I am not used to its installation: Comments on the manuscript:
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👋 @alberto-battistel, please update us on how your review is going (this is an automated reminder). |
👋 @andrewtarzia, please update us on how your review is going (this is an automated reminder). |
The above has mostly been answered. Still awaiting a way to test parts of Hardy that do not require the costly training that I cannot perform (issue 11). At this point, it is still unclear how to use Hardy after training a model that can make the classifications. The checklist above highlights what is missing. |
I have completed my review and recommend acceptance of this software paper, the work is potentially very useful, although some checklist items above remain unticked for me, which I highlight here:
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@andrewtarzia Thank you so much for the feedback and the review you provided for this paper. The remaining points on your checklist have been addressed:
@gkthiruvathukal adn @alberto-battistel : Is there any update for this publication? When can we expect the review to be completed? Thank you again all for your work and your feedback on this software! |
@MariaPoliti I am just returning from my "out of office", so I should be able to follow up shortly (hopefully within 24-48 hours). Thanks for the gentle nudge! |
@andrewtarzia Thanks for your feedback. @alberto-battistel Have you been able to review this submission? I don't see any input on the checklist or comments. We need input from you to complete this review. Thanks to everyone for your patience. I was out of office until the 4th but also became department chairperson at my university. So it took me a few days to catch up. |
Hello @MariaPoliti, I am trying installing the package. I tried all proposed methods, but they all fail. Installation via conda Installation via GitHub repository Installation using evironment.yml |
Dear @MariaPoliti <https://github.com/MariaPoliti>,
I have read the manuscript. I used the version it was send by .@wedon in
the very beginning.
See in the attachment for a couple of comments I have for the text.
In hardy/joss-paper/paper.md I see the .md file, but the captions for
the figures are missing. This was a point to improve mentioned by
@andrewtarzia <https://github.com/andrewtarzia>.
If you have a new version of the manuscript I will be happy to go
through it directly.
General comments on the manuscript
The manuscript is well-written and clear, but some details and
explanations are missing.
1. Figure 1 should be explained more in detail.
2. Figure 2 should also be explained more in detail. In particular, the
Small Angle Scattering (SAS) data should be better described.
3. It is not clear what is the RGB representation of the data.
I am going to flash a drive with a standard Ubuntu system and try the
installation one more time.
…On 16.01.22 16:38, George K. Thiruvathukal wrote:
@andrewtarzia <https://github.com/andrewtarzia> Thanks for your feedback.
@MariaPoliti <https://github.com/MariaPoliti> Thanks for addressing
@andrewtarzia <https://github.com/andrewtarzia>'s feedback.
@alberto-battistel <https://github.com/alberto-battistel> Have you
been able to review this submission? I don't see any input on the
checklist or comments. We need input from you to complete this review.
Thanks to everyone for your patience. I was out of office until the
4th but also became department chairperson at my university. So it
took me a few days to catch up.
—
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@whedon generate pdf @alberto-battistel @andrewtarzia As mentioned in a previous message, the documentation has been updated and additional examples have been added- see @alberto-battistel the manuscript version on the repository is the final one. It seems like the captions are nto shown when opening the Let us know if anything can be improved or need further attention. Thank you all again for the feedback provided |
Thank you, it is everything fine. Best, |
@gkthiruvathukal @andrewtarzia : Is there any update for this publication? When can we expect the review to be completed? Thank you again all for your work and your feedback on this software! |
I'll do it in the next few days. I wasn't sure it was ready yet, sorry! |
@MariaPoliti I think we're almost ready to go. Can you scroll up to the checklist of items remaining to be addressed by @andrewtarzia? It looks like you addressed all of these comments, but I did not see any follow up from @andrewtarzia. It may not be needed but I would like you to confirm that you addressed all of the points there. Once I have said confirmation, I can proceed with final checks and to recommend acceptance. |
Sorry about the delay. Having looked through the docs, examples and manuscript again, I am happy with it and recommend publication. |
@alberto-battistel There seems to be one task not checked off from your list. I believe we have addressed it, but I am just double checking with you. @gkthiruvathukal What are the next steps after the review is completed? When can we expect for a final decision to be made about this publication? Thank you agian all for your great feedback and your reviews |
@editorialbot recommend-accept |
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👋 @openjournals/joss-eics, this paper is ready to be accepted and published. Check final proof 👉 openjournals/joss-papers#3037 If the paper PDF and the deposit XML files look good in openjournals/joss-papers#3037, then you can now move forward with accepting the submission by compiling again with the command |
@MariaPoliti Thank you for your patience. I have recommended acceptance and look forward to seeing this work published in JOSS. |
I ticked the missing point. Is there anything else? |
@MariaPoliti I have proofread your paper and it seems in order, but please do consider the following comment;
If you make changes to the paper please update it here using |
@editorialbot generate pdf |
@Kevin-Mattheus-Moerman Thank you for pointing out the issues with capitalization. I have fixed those I could find in the manuscript and generated a new .pdf using the command you indicated. |
@editorialbot generate pdf |
👋 Hi @MariaPoliti! Good to "see" you here! |
@MariaPoliti I made a few more minor formatting edits in this PR, can you merge it? EISy-as-Py/hardy#17 |
@kyleniemeyer it is good to "see" you too here! Thank you for the help with the paper formatting! |
@editorialbot generate pdf |
This looks all good now, ready to publish! |
@editorialbot accept |
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🐦🐦🐦 👉 Tweet for this paper 👈 🐦🐦🐦 |
🚨🚨🚨 THIS IS NOT A DRILL, YOU HAVE JUST ACCEPTED A PAPER INTO JOSS! 🚨🚨🚨 Here's what you must now do:
Any issues? Notify your editorial technical team... |
Congratulations @MariaPoliti on your article's publication in JOSS! Many thanks to @andrewtarzia and @alberto-battistel for reviewing this, and @gkthiruvathukal for editing it. |
🎉🎉🎉 Congratulations on your paper acceptance! 🎉🎉🎉 If you would like to include a link to your paper from your README use the following code snippets:
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Submitting author: @MariaPoliti (Maria Politi)
Repository: https://github.com/EISy-as-Py/hardy
Branch with paper.md (empty if default branch):
Version: v1.0.1
Editor: @gkthiruvathukal
Reviewers: @andrewtarzia, @alberto-battistel
Archive: 10.5281/zenodo.6339767
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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