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[REVIEW]: Efficiently Collecting Relative Similarity Judgments from Humans #4517
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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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@editorialbot add @jorgedch as reviewer |
@jorgedch added to the reviewers list! |
Review checklist for @jorgedchConflict of interest
Code of Conduct
General checks
Functionality
Documentation
Software paper
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Functionality
Documentation
Software paper
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Salmon's documentation mentions an install process on Amazon AWS: https://docs.stsievert.com/salmon/installation.html#experimentalist. I've reached out to the reviewers (@hoechenberger, @stain, @jorgedch) to provide an Amazon AWS account so they can more easily verify that process works and because Amazon EC2 machines have a non-zero cost. @ajstewartlang let me know if that violates any ethics rules; I can revoke their permissions at any time. The relevant AMI is public (see Amazon AWS Dashboard screenshot below), so the fact I created their accounts should not provide privileged access not available to the public. |
Thanks @stsievert - for the purpose of facilitating the review process, I'm comfortable with that. I'll assume that @hoechenberger, @stain, and @jorgedch are too unless I hear otherwise. |
@stsievert the solutions to the following issues are already posted in their corresponding threads: Functionality: Feel free to copy/paste the code in the relevant files and close the issues. Other than that, everything else is approved from my side and the code is ready for publication. All the best, Jorge |
👋 @stain and @hoechenberger - just checking in to see how your reviews of this submission are going? |
@ajstewartlang I'm sorry for the delay, I'm working on the review right now and will submit ASAP! |
Review checklist for @hoechenbergerConflict of interest
Code of Conduct
General checks
Functionality
Documentation
Software paper
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Hello @stsievert @ajstewartlang, I am happy with everything except with the installation procedure. I managed to get Salmon to run on an AWS instance, but local installation failed, both via Docker and via There is a problem when running
And for installation from the
This is on macOS 12.6 on an Apple Silicon machine. Since the AWS installation worked flawlessly, I was still able to review functionality of the software. |
👋 @openjournals/sbcs-eics, this paper is ready to be accepted and published. Check final proof 👉📄 Download article If the paper PDF and the deposit XML files look good in openjournals/joss-papers#4130, then you can now move forward with accepting the submission by compiling again with the command |
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what's up with this error @gkthiruvathukal? 😅 |
I think it's just a book and the bot is struggling for some reason? Anyway, it looks good in the PDF to me. Is that all good for you too @stsievert? |
@editorialbot generate pdf |
Huh, I haven't changed the DOIs in a while. Both errors are with conference articles ("Adaptively learning ..." is from ICML, "NEXT: A System ..." is from NeurIPS). Both links resolve to the expected article. Also, I've reviewed the paper again and noticed a typo in |
@editorialbot recommend-accept |
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👋 @openjournals/sbcs-eics, this paper is ready to be accepted and published. Check final proof 👉📄 Download article If the paper PDF and the deposit XML files look good in openjournals/joss-papers#4135, then you can now move forward with accepting the submission by compiling again with the command |
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@editorialbot accept |
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@stsievert congratulations! And a big thanks for the reviews to @hoechenberger, @stain, and @jorgedch! 🥳 |
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Thank you for your reviews/help @oliviaguest @hoechenberger, @stain, and @jorgedch! |
Submitting author: @stsievert (Scott Sievert)
Repository: https://github.com/stsievert/salmon/
Branch with paper.md (empty if default branch): master
Version: v1.0.2
Editor: @ajstewartlang
Reviewers: @hoechenberger, @stain, @jorgedch
Archive: 10.5281/zenodo.7832431
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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.)
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First of all you need to run this command in a separate comment to create the checklist:
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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 @hoechenberger
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📝 Checklist for @stain
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