Closed editorialbot closed 2 years ago
Attempting dry run of processing paper acceptance...
:wave: @openjournals/joss-eics, this paper is ready to be accepted and published.
Check final proof :point_right::page_facing_up: Download article
If the paper PDF and the deposit XML files look good in https://github.com/openjournals/joss-papers/pull/3412, then you can now move forward with accepting the submission by compiling again with the command @editorialbot accept
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- 10.1017/S0266466603004109 is OK
- 10.1145/3501714.3501743 is OK
- 10.3389/fnagi.2020.553635 is OK
MISSING DOIs
- None
INVALID DOIs
- None
Great, thanks @Nikoleta-v3 . Is there anything I need to do at this point?
Nothing else you can do for now 😃 I pinged the editorial board. One of the editors will check that everything is okay with the paper, and then publish it. They might have a few more comments but at this point they will be very minor.
Excellent, thank you!
@Nikoleta-v3 @Athene-ai – can you confirm that @Athene-ai completed a full review here? I don't see a checklist for them anywhere in this thread.
@Nikoleta-v3 @Athene-ai – can you confirm that @Athene-ai completed a full review here? I don't see a checklist for them anywhere in this thread.
...and now we have one. Thanks @Athene-ai!
@editorialbot accept
Doing it live! Attempting automated processing of paper acceptance...
🐦🐦🐦 👉 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...
@Athene-ai, @fAndreuzzi – many thanks for your reviews here and to @Nikoleta-v3 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 ✨
@max-little – your paper is now accepted and published in JOSS :zap::rocket::boom:
:tada::tada::tada: Congratulations on your paper acceptance! :tada::tada::tada:
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Thanks @Nikoleta-v3 , @fAndreuzzi , @Athene-ai , @arfon , very much appreciated. Happy to contribute as a reviewer, if you can use my help, do let me know. All the best Max
Happy to contribute as a reviewer, if you can use my help, do let me know !😉
Yes, most meaning what is going to be used by the user. You should document also classes, as they support docstrings too.
OK I'll do that, it's basically going to be all methods/functions and classes.
I would also suggest to split functions into smaller, more maintainable ones, it looks quite weird and dangerous to me that you don't have functions which are not going to be used by the user. Even if you do not share any code among different functions, you should try to pack your logic into smaller, single-responsibility functions.
As I've said, there are no functions/methods which should not be accessed by the user. This is the logic of structural causal modelling and inference. Can you perhaps explain to me which parts of the functionality of the software shouldn't be accessed by the user, and give a convincing reason why, in terms of the logic of structural causal modelling and inference?
Best Max
— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: @.***>
-- Max Little (www.maxlittle.net) Associate Professor, University of Birmingham Turing Fellow, Alan Turing Institute TED Fellow (fellows.ted.com/profiles/max-little) Visiting Associate Professor, MIT Author: Machine Learning for Signal Processing, Oxford University Press global.oup.com/academic/product/machine-learning-for-signal-processing-9780198714934 Room 138, School of Computer Science University of Birmingham Birmingham B15 2TT UK +44 7710 609564 Skype: dr.max.little
So let's start another review round @max-little ? :smile:
Submitting author: !--author-handle-->@max-little<!--end-author-handle-- (Max A. Little) Repository: https://github.com/max-little/GRAPL Branch with paper.md (empty if default branch): Version: v1.4.0 Editor: !--editor-->@Nikoleta-v3<!--end-editor-- Reviewers: @Athene-ai, @fAndreuzzi Archive: 10.5281/zenodo.6959433
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