Closed editorialbot closed 2 months ago
Hello human, 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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For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:
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Software report:
github.com/AlDanial/cloc v 1.90 T=0.03 s (2744.7 files/s, 169837.4 lines/s)
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Language files blank comment code
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R 66 230 1129 2205
Markdown 2 105 0 395
Rmd 2 84 213 117
YAML 3 12 4 61
TeX 1 2 0 22
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SUM: 74 433 1346 2800
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Commit count by author:
264 lilyclements
Paper file info:
📄 Wordcount for paper.md
is 806
✅ The paper includes a Statement of need
section
License info:
🟡 License found: GNU Lesser General Public License v3.0
(Check here for OSI approval)
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- None
MISSING DOIs
- 10.1163/9789004322714_cclc_2021-0172-549 may be a valid DOI for title: Climate Change and Health
- No DOI given, and none found for title: Green Theatre Index: Measuring the Effectiveness o...
- No DOI given, and none found for title: Greenhouse Gas Reporting: Conversion Factors 2023
INVALID DOIs
- None
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
Hi @lilyclements and thanks for your submission! I am looking for some specific items to make sure your submission fits our requirements at a high level (not at the more detailed review level) before moving on to finding an editor or putting this on our waitlist if no relevant editors are available. I'll comment over time as I have a chance to go through them:
In the meantime, please take a look at the comments above ⬆️ from the editorialbot to address any DOI, license, or paper issues if you're able (there may not be any), or suggest reviewers. For reviewers, please suggest 5 reviewers from the database listed above or your own (non-conflicted) extended network. Their github handles are most useful to receive but please don't use "@" to reference them since it will prematurely ping them.
@lilyclements
Hi @kthyng thanks for your feedback and for laying this out so easily to understand. I really appreciate this.
I have updated the paper and pushed changes to GitHub.
@editorialbot generate pdf
:warning: An error happened when generating the pdf. Author (Lily Clements) is missing affiliation.
The readme is fairly large and so I can quite easily create a vignette to accompany it if the readme is a problem.
Agreed that the readme is big and could be repurposed into some other documentation. I would suggest you do this because it would be better for your package but it will probably also come up during the course of your review. You can choose if/when you address it.
Can you take a look at that error?
@kthyng I have sorted the error now. It wasn't showing up on my end under Actions so I'm very sorry I didn't flag it sooner.
Thanks for the advice. I have reduced the readme and moved bits into a vignette now. Even if it weren't to come up over the course of the review, I think it makes it a bit more readable now. Thanks.
@editorialbot generate pdf
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
@lilyclements Ok thanks. This has passed my checks. The next step is to get a topic editor to take this on and there's a chance they'll have some questions to make sure this is in scope. First, I will add this to the wait list to wait for an appropriate editor. Thanks for your patience.
@kthyng great news - thanks for your advice and patience!
@editorialbot assign @mengqi-z as editor
Assigned! @mengqi-z is now the editor
Hello @lilyclements, I will be the topic editor for your submission. While I am looking for potential reviewers, could you please update the format of the code chunks in your paper.md
file? For codes in the paper, you don't need to include {r, message = FALSE, warning = FALSE, eval=FALSE, include=TRUE}
in each code chunk, as it will be printed out in the PDF. Please also ensure the layout of the code in the paper PDF is formatted well. Thank you.
👋 @hvwaldow @zhenchun Would any of you be willing to review this submission to JOSS? We conduct our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html
Hello @lilyclements, I will be the topic editor for your submission. While I am looking for potential reviewers, could you please update the format of the code chunks in your
paper.md
file? For codes in the paper, you don't need to include{r, message = FALSE, warning = FALSE, eval=FALSE, include=TRUE}
in each code chunk, as it will be printed out in the PDF. Please also ensure the layout of the code in the paper PDF is formatted well. Thank you.
Thanks @mengqi-z, I have done this now.
👋 @hvwaldow @zhenchun Would any of you be willing to review this submission to JOSS? We conduct our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html
Hi @mengqi-z ! I'll happily review, but will be only able to start Monday next week.
👋 @hvwaldow @zhenchun Would any of you be willing to review this submission to JOSS? We conduct our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html
Hi @mengqi-z ! I'll happily review, but will be only able to start Monday next week.
That's totally fine! Thank you @hvwaldow !
@editorialbot add @hvwaldow as reviewer
@hvwaldow added to the reviewers list!
@editorialbot generate pdf
: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.
I can review as well.
Zhenchun
On Wed, Jun 26, 2024 at 9:25 AM The Open Journals editorial robot < @.***> wrote:
Five most similar historical JOSS papers:
goFlux: A user-friendly way to calculate GHG fluxes yourself, regardless of user experience https://github.com/openjournals/joss-reviews/issues/6393 Submitting author: @qepanna Handling editor: @arfon (Active) Reviewers: @Schuch666, @shubhamjain15, @hahsan1 Similarity score: 0.7072
The Climate Equity Reference Calculator https://github.com/openjournals/joss-reviews/issues/1273 Submitting author: @krueschan Handling editor: @jedbrown (Active) Reviewers: @mtobis Similarity score: 0.7032
bonsai_ipcc - a Python package for the calculation of national greenhouse gas inventories https://github.com/openjournals/joss-reviews/issues/6123 Submitting author: @mabudz Handling editor: @pdebuyl (Active) Reviewers: @GISWLH, @PennyHow Similarity score: 0.7032
rfasst: An R tool to estimate air pollution impacts on health and agriculture https://github.com/openjournals/joss-reviews/issues/3820 Submitting author: @jonsampedro Handling editor: @dhhagan (Retired) Reviewers: @nanhung, @ibarraespinosa Similarity score: 0.6965
BCEA: An R Package for Cost-Effectiveness Analysis https://github.com/openjournals/joss-reviews/issues/4206 Submitting author: @n8thangreen Handling editor: @ajstewartlang (Active) Reviewers: @rowlandseymour, @MikeLydeamore Similarity score: 0.6946
⚠️ 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.
— Reply to this email directly, view it on GitHub https://github.com/openjournals/joss-reviews/issues/6820#issuecomment-2192112931, or unsubscribe https://github.com/notifications/unsubscribe-auth/AFURVISJTVDVM26D5LO34PDZJLTOTAVCNFSM6AAAAABITQYIQWVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCOJSGEYTEOJTGE . You are receiving this because you were mentioned.Message ID: @.***>
I can review as well. Zhenchun
Perfect! Thank you for agreeing to review @zhenchun !
@editorialbot add @zhenchun as reviewer
@zhenchun added to the reviewers list!
@editorialbot start review
OK, I've started the review over in https://github.com/openjournals/joss-reviews/issues/6932.
Submitting author: !--author-handle-->@lilyclements<!--end-author-handle-- (Lily Clements) Repository: https://github.com/IDEMSInternational/carbonr Branch with paper.md (empty if default branch): Version: v0.1.0 Editor: !--editor-->@mengqi-z<!--end-editor-- Reviewers: @hvwaldow, @zhenchun Managing EiC: Kristen Thyng
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