Closed editorialbot closed 2 months ago
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Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- 10.3847/1538-4357/ac2f42 is OK
- 10.7717/peerj-cs.1516 is OK
MISSING DOIs
- None
INVALID DOIs
- None
Software report:
github.com/AlDanial/cloc v 1.90 T=0.05 s (766.7 files/s, 247863.3 lines/s)
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Language files blank comment code
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Python 20 475 910 1592
Jupyter Notebook 4 0 8986 604
Markdown 2 73 0 149
YAML 6 11 21 149
reStructuredText 4 37 63 41
TOML 1 5 0 32
TeX 1 1 0 28
DOS Batch 1 8 1 26
JSON 1 0 0 23
make 1 4 7 9
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SUM: 41 614 9988 2653
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Commit count by author:
15 Trey Wenger
Paper file info:
📄 Wordcount for paper.md
is 291
✅ The paper includes a Statement of need
section
License info:
🟡 License found: GNU General Public License v3.0
(Check here for OSI approval)
@tvwenger — Thanks for your submission! All the suitable JOSS editors are currently working at capacity so I'm going to "waitlist" this review until an editor with the relevant expertise is available to take it on. Thanks for your patience!
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
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⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.
larryshamalama
would be an excellent referee, I think!
For the future editor: I am aware that JOSS has substantial "scholarly effort" criteria, and that the age of this repository might suggest that it does not meet these criteria. I wanted to give a bit of context for the project to justify its significant scholarly effort.
bayes_spec
has been developed over the past ~18 months, originally forming the foundation of a specific model:
https://github.com/tvwenger/amoeba2
Given the general-use applicability of this Bayesian spectral modeling framework, the core framework from amoeba2
was split into bayes_spec
so that it could be extended to any user-specified model.
There are now several models implemented in the bayes_spec
framework, and the applications of each are being prepared for astronomy journals.
https://github.com/tvwenger/bayes_cn_hfs
https://github.com/tvwenger/amoeba2
https://github.com/tvwenger/bayes_yplus
https://github.com/tvwenger/caribou_hi
It would be great to be able to point to the JOSS paper for bayes_spec
in each of these astronomy papers!
@editorialbot assign @ivastar as editor
Assigned! @ivastar is now the editor
Hi @tvwenger! I will be the editor for this submission. I will be looking for reviewers in the next week or so. Thank you for the suggestion above!
@editorialbot add @ConorMacBride as reviewer
@ConorMacBride added to the reviewers list!
@editorialbot add @larryshamalama as reviewer
@editorialbot add @kbwestfall as reviewer
@kbwestfall added to the reviewers list!
@editorialbot add @larryshamalama as reviewer
@larryshamalama added to the reviewers list!
@editorialbot start review
OK, I've started the review over in https://github.com/openjournals/joss-reviews/issues/7201.
Submitting author: !--author-handle-->@tvwenger<!--end-author-handle-- (Trey Wenger) Repository: https://github.com/tvwenger/bayes_spec Branch with paper.md (empty if default branch): Version: v1.5.0 Editor: !--editor-->@ivastar<!--end-editor-- Reviewers: @ConorMacBride, @kbwestfall, @larryshamalama Managing EiC: Dan Foreman-Mackey
Status
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