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[REVIEW]: OTTO: A Python package to simulate, solve and visualize the source-tracking POMDP #4266
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Hello humans, I'm @editorialbot, a robot that can help you with some common editorial tasks. For a list of things I can do to help you, just type:
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@VivianePons <https://github.com/VivianePons> Thank you for handling this
manuscript, should I provide you with additional reviewers suggestions?
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Review checklist for @11michalis11Conflict of interest
Code of Conduct
General checks
Functionality
Documentation
Software paper
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@auroreloisy Thank you, I think I still have a few names to check. I just contacted someone. |
@editorialbot add @RomainAzais as reviewer |
@RomainAzais added to the reviewers list! |
Just finished my review. All the comments can be found at the issue created on the repository 👍 |
@11michalis11 Thank you for your positive feedback and for your help with improving our submission, we have replied in the issue. |
Dear @RomainAzais, we hope everything is going alright with the review, as nothing has moved in the last 5 weeks. Let us know if we can help with anything. |
@VivianePons Have you heard back from @RomainAzais by any chance? It's been 6 weeks since they were assigned and nothing has moved. |
Hello! |
Review checklist for @RomainAzaisConflict of interest
Code of Conduct
General checks
Functionality
Documentation
Software paper
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Hi @RomainAzais, just wondering when you think you'll be able to complete the review. We're happy to help with any issue. |
Hi @auroreloisy, |
Hello, My overall opinion of OTTO is very positive: the installation and testing procedures are clear, the readme file and the documentation are very complete and at the right level of detail, and the examples help to understand how to use it. I only encountered a small bug during the installation (with tensorflow apparently) but it has been solved. Setting up a ci/cd pipeline might avoid this kind of mishap. My only (slightly) negative comment is related to the discussion on the review thread: reading only the paper, I expect (as a non-specialist) to be able to use OTTO on custom state spaces, where I can decide on target and tracker (starting) positions. (Perhaps this is a bias induced by the introduction of the paper on applications of this type of model.) The documentation is precise on the model and strategies considered and helps to understand that this is not what is treated with this package. If I understood correctly, OTTO is more a tool for rigorous study and comparison of heuristic policies than a practical tool to be used on real-world examples. In my opinion, a sentence or two should be added in the paper to clarify the purpose of the package. I still checked the "statement of need" box because this point is not blocking for me. On this subject, note that if we follow the checklist to the letter, a "statement of need" section should be present in the paper. It was a pleasure to use and review OTTO. Thanks for the quick feedback during the review process, and sorry for my late feedback in this busy end of year period. R. |
Dear @RomainAzais, Dear @VivianePons : we believe we have now addressed all issues raised by the reviewers. |
@editorialbot generate pdf |
@VivianePons actually the invalid doi should be active on the 15 june (upcoming publication that uses OTTO by us) |
My mistake, I guess I was expecting it at the "summary" place. But that's perfectly fine.
Yes, I am. |
@VivianePons I have just updated the reference, it works now |
@editorialbot generate pdf |
@editorialbot check references |
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Thank you @auroreloisy, I believe we have now everything and we will move to the last steps before final acceptance. Congrats! And thank you to @11michalis11 and @RomainAzais for the reviews. @auroreloisy : can you make a tagged release of the software (on Zenodo, figshare, or other). This needs to have the same title and authors as the submission. When done, send me the link and I will update the version and doi |
@VivianePons : here is the zenodo link https://zenodo.org/record/6651884 |
@editorialbot set v1.0.1 as version |
Done! version is now v1.0.1 |
@editorialbot set 10.5281/zenodo.6651884 as archive |
Done! Archive is now 10.5281/zenodo.6651884 |
@editorialbot recommend-accept |
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Perfect, I just recommended acceptance, thank you all for the work on the paper! |
👋 @openjournals/joss-eics, this paper is ready to be accepted and published. Check final proof 👉 openjournals/joss-papers#3285 If the paper PDF and the deposit XML files look good in openjournals/joss-papers#3285, then you can now move forward with accepting the submission by compiling again with the command |
@editorialbot accept |
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@11michalis11, @RomainAzais – many thanks for your reviews here and to @VivianePons for editing this submission! JOSS relies upon the volunteer effort of people like you and we simply wouldn't be able to do this without you ✨ @auroreloisy – your paper is now accepted and published in JOSS ⚡🚀💥 |
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Submitting author: @auroreloisy (Aurore Loisy)
Repository: https://github.com/C0PEP0D/otto
Branch with paper.md (empty if default branch):
Version: v1.0.1
Editor: @VivianePons
Reviewers: @11michalis11, @RomainAzais
Archive: 10.5281/zenodo.6651884
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Please avoid lengthy details of difficulties in the review thread. Instead, please create a new issue in the target repository and link to those issues (especially acceptance-blockers) by leaving comments in the review thread below. (For completists: if the target issue tracker is also on GitHub, linking the review thread in the issue or vice versa will create corresponding breadcrumb trails in the link target.)
Reviewer instructions & questions
@11michalis11, @RomainAzais your review will be checklist based. Each of you will have a separate checklist that you should update when carrying out your review.
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✨ Please start on your review when you are able, and be sure to complete your review in the next six weeks, at the very latest ✨
Checklists
📝 Checklist for @11michalis11
📝 Checklist for @RomainAzais
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