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[PRE REVIEW]: EcoLogits: Evaluate the Environmental Impacts of Generative AI #7284

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editorialbot opened this issue Sep 25, 2024 · 49 comments
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editorialbot commented Sep 25, 2024

Submitting author: @adrienbanse (Adrien Banse)
Repository: https://github.com/genai-impact/ecologits
Branch with paper.md (empty if default branch): joss
Version: v0.5.0
Editor: @Fei-Tao
Reviewers: @jaywonchung, @vict0rsch
Managing EiC: Kristen Thyng

Status

status

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HTML: <a href="https://joss.theoj.org/papers/30061de5abeaf322be9beaec80f6242d"><img src="https://joss.theoj.org/papers/30061de5abeaf322be9beaec80f6242d/status.svg"></a>
Markdown: [![status](https://joss.theoj.org/papers/30061de5abeaf322be9beaec80f6242d/status.svg)](https://joss.theoj.org/papers/30061de5abeaf322be9beaec80f6242d)

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Thanks for submitting your paper to JOSS @adrienbanse. Currently, there isn't a JOSS editor assigned to your paper.

@adrienbanse if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). You can search the list of people that have already agreed to review and may be suitable for this submission.

Editor instructions

The JOSS submission bot @editorialbot is here to help you find and assign reviewers and start the main review. To find out what @editorialbot can do for you type:

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@editorialbot editorialbot added pre-review Track: 6 (ESE) Earth Sciences and Ecology labels Sep 25, 2024
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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=0.06 s (1940.0 files/s, 200939.9 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
YAML                            43            837             40           3686
Python                          34            593            327           2705
Markdown                        18            697              0           1357
TeX                              1             28              0            359
CSV                              2              0              0            267
TOML                             1             21              1            183
CSS                              1             16             12             67
JavaScript                       2              4              1             29
JSON                             3              0              0             24
make                             1              6              0             22
HTML                             2              0              2              5
SVG                              1              0              0              1
-------------------------------------------------------------------------------
SUM:                           109           2202            383           8705
-------------------------------------------------------------------------------

Commit count by author:

   263	Samuel Rince
   113	Adrien Banse
    30	luc
    10	Samuel Rincé
     5	vinh
     4	Luc BERTON
     2	Clovis Varangot-Reille
     2	Luc
     1	DataForGood (Tech)
     1	Nina P.
     1	Yoann Couble
     1	yco

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Paper file info:

📄 Wordcount for paper.md is 1955

✅ The paper includes a Statement of need section

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License info:

✅ License found: Mozilla Public License 2.0 (Valid open source OSI approved license)

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Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- 10.48550/arXiv.2211.02001 is OK
- 10.1016/j.joule.2023.09.004 is OK
- 10.1145/3630106.3658542 is OK
- 10.1016/j.suscom.2023.100857 is OK
- 10.48550/arXiv.2104.10350 is OK
- 10.48550/arXiv.1910.09700 is OK
- 10.48550/arXiv.2302.13971 is OK
- 10.48550/arXiv.2307.09288 is OK
- 10.1145/3630106.3658542 is OK
- 10.3390/su14095172 is OK
- 10.5281/zenodo.11171501 is OK
- 10.1007/BF02986351 is OK
- 10.1007/s11367-019-01683-x is OK
- 10.1007/s11367-015-0897-4 is OK
- 10.1007/BF02978943 is OK
- 10.1007/BF02978624 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: Llama 3 Model Card
- No DOI given, and none found for title: Zeus: Understanding and Optimizing GPU Energy Cons...
- No DOI given, and none found for title: LLM-Perf Leaderboard
- No DOI given, and none found for title: Optimum-Benchmark: A framework for benchmarking th...
- No DOI given, and none found for title: BoaviztAPI: a bottom-up model to assess the enviro...
- No DOI given, and none found for title: Digital technologies in Europe: an environmental l...
- No DOI given, and none found for title: The Global E-waste Monitor 2020. Quantities, flows...
- No DOI given, and none found for title: Climate Change 2013: The Physical Science Basis
- No DOI given, and none found for title: Base Empreinte®
- No DOI given, and none found for title: Large data centers are mostly more efficient, anal...
- No DOI given, and none found for title: Uptime Institute Global Data Center Survey Results...

❌ MISSING DOIs

- None

❌ INVALID DOIs

- None

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👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

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Five most similar historical JOSS papers:

bonsai_ipcc - a Python package for the calculation of national greenhouse gas inventories
Submitting author: @mabudz
Handling editor: @pdebuyl (Active)
Reviewers: @GISWLH, @PennyHow
Similarity score: 0.6325

PEFAP : Estimating the environmental footprint of food products from packaging data
Submitting author: @GustaveCoste
Handling editor: @vissarion (Active)
Reviewers: @marvinjonathcn, @simonom
Similarity score: 0.6303

LCIA Formatter
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Handling editor: @csoneson (Active)
Reviewers: @tngTUDOR, @mfastudillo
Similarity score: 0.6270

GeoClimate: a Geospatial processing toolbox for environmental and climate studies
Submitting author: @ebocher
Handling editor: @elbeejay (Active)
Reviewers: @abhishekvp, @omshinde, @arbennett
Similarity score: 0.6247

seesus: a social, environmental, and economic sustainability classifier for Python
Submitting author: @caimeng2
Handling editor: @oliviaguest (Active)
Reviewers: @varsha2509, @luyuhao0326
Similarity score: 0.6130

⚠️ 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.

@kthyng
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kthyng commented Sep 25, 2024

Hi @adrienbanse 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.

@adrienbanse
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Hey @kthyng, thanks a lot!

We suggest the following five reviewers from our own extended network:

  • shaoleiren
  • mjay42
  • vict0rsch
  • jaywonchung
  • annlor

cc @samuelrince

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kthyng commented Sep 27, 2024

@adrienbanse

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@editorialbot generate pdf

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👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

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Five most similar historical JOSS papers:

seesus: a social, environmental, and economic sustainability classifier for Python
Submitting author: @caimeng2
Handling editor: @oliviaguest (Active)
Reviewers: @varsha2509, @luyuhao0326
Similarity score: 0.6841

Trash AI: A Web GUI for Serverless Computer Vision Analysis of Images of Trash
Submitting author: @wincowgerDEV
Handling editor: @arfon (Active)
Reviewers: @domna, @luxaritas
Similarity score: 0.6775

Zoobot: Adaptable Deep Learning Models for Galaxy Morphology
Submitting author: @mwalmsley
Handling editor: @plaplant (Active)
Reviewers: @crhea93, @devanshkv
Similarity score: 0.6665

elmada: Dynamic electricity carbon emission factors and prices for Europe
Submitting author: @mfleschutz
Handling editor: @fraukewiese (Active)
Reviewers: @nmstreethran, @olejandro
Similarity score: 0.6616

PyExperimenter: Easily distribute experiments and track results
Submitting author: @tornede
Handling editor: @timtroendle (Retired)
Reviewers: @ArsamAryandoust, @schnorr
Similarity score: 0.6593

⚠️ 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.

@samuelrince
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Hey @kthyng, we have followed your suggestion to reduce the length of the paper by about half by removing most of the methodology part. We should be under 1000 words (or very close).

cc @adrienbanse

@samuelrince
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@editorialbot generate pdf

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👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

@editorialbot
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Five most similar historical JOSS papers:

seesus: a social, environmental, and economic sustainability classifier for Python
Submitting author: @caimeng2
Handling editor: @oliviaguest (Active)
Reviewers: @varsha2509, @luyuhao0326
Similarity score: 0.6922

Trash AI: A Web GUI for Serverless Computer Vision Analysis of Images of Trash
Submitting author: @wincowgerDEV
Handling editor: @arfon (Active)
Reviewers: @domna, @luxaritas
Similarity score: 0.6864

elmada: Dynamic electricity carbon emission factors and prices for Europe
Submitting author: @mfleschutz
Handling editor: @fraukewiese (Active)
Reviewers: @nmstreethran, @olejandro
Similarity score: 0.6699

Zoobot: Adaptable Deep Learning Models for Galaxy Morphology
Submitting author: @mwalmsley
Handling editor: @plaplant (Active)
Reviewers: @crhea93, @devanshkv
Similarity score: 0.6689

PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs
Submitting author: @diningphil
Handling editor: @arfon (Active)
Reviewers: @idoby, @sepandhaghighi
Similarity score: 0.6672

⚠️ 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.

@adrienbanse
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Hi @kthyng, just checking on how this is going.
Have you had a chance to look at our changes? Thanks in advance!

cc @samuelrince

@kthyng
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kthyng commented Oct 22, 2024

@editorialbot check repository

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Software report:

github.com/AlDanial/cloc v 1.90  T=0.06 s (1900.9 files/s, 195060.8 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
YAML                            43            837             40           3686
Python                          34            593            327           2705
Markdown                        18            682              0           1308
TeX                              1             23              0            323
CSV                              2              0              0            267
TOML                             1             21              1            183
CSS                              1             16             12             67
JavaScript                       2              4              1             29
JSON                             3              0              0             24
make                             1              6              0             22
HTML                             2              0              2              5
SVG                              1              0              0              1
-------------------------------------------------------------------------------
SUM:                           109           2182            383           8620
-------------------------------------------------------------------------------

Commit count by author:

   266	Samuel Rince
   113	Adrien Banse
    30	luc
    10	Samuel Rincé
     5	vinh
     4	Luc BERTON
     2	Clovis Varangot-Reille
     2	Luc
     1	DataForGood (Tech)
     1	Nina P.
     1	Yoann Couble
     1	yco

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Paper file info:

📄 Wordcount for paper.md is 1057

✅ The paper includes a Statement of need section

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License info:

✅ License found: Mozilla Public License 2.0 (Valid open source OSI approved license)

@kthyng
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kthyng commented Oct 22, 2024

@samuelrince @adrienbanse Sorry for my delay, I've been traveling and had a deadline to wrap up too. Yes paper looks good though please check the capitalization in your references. You can preserve capitalization by placing {} around characters/words in your .bib file. ("u.k." for example but there may be more).

We have a backlog of submissions so I will add this to our waitlist. Thanks for your patience.

@kthyng kthyng added the waitlisted Submissions in the JOSS backlog due to reduced service mode. label Oct 22, 2024
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Fei-Tao commented Oct 23, 2024

Hi @kthyng, this submission looks interesting to me, I can help edit this submission.

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kthyng commented Oct 23, 2024

Awesome! Thanks @Fei-Tao!

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kthyng commented Oct 23, 2024

@editorialbot assign @Fei-Tao as editor

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Assigned! @Fei-Tao is now the editor

@kthyng kthyng removed the waitlisted Submissions in the JOSS backlog due to reduced service mode. label Oct 23, 2024
@adrienbanse
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Many thanks @Fei-Tao and @kthyng 😃

@Fei-Tao
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Fei-Tao commented Oct 23, 2024

@kthyng thanks for your prompt response.
@adrienbanse You are welcome.

@Fei-Tao
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Fei-Tao commented Oct 28, 2024

Hi, @shaoleiren, @vict0rsch, @jaywonchung, @LSRathore, @puruckertom, @ethanwhite, I hope this message finds you well. If you'd like to review this submission, please comment here! Feel free to unsubscribe from this issue if you are not interested. Thank you for your time!

@jaywonchung
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Hi @Fei-Tao! I'm not very familiar with JOSS and its review process. Could you point me to a document or provide a quick overview of what is expected of the reviewer, a typical expected time commitment, and a rough due date for the review? I'll be traveling a lot in November, so I need to plan well or in an unfortunate case turn down the review request :(

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Fei-Tao commented Oct 28, 2024

@jaywonchung no problem, please find the review criteria in the following link. https://joss.readthedocs.io/en/latest/review_criteria.html

@jaywonchung
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Thanks, please sign me up. I'll try to get it done within 2~4 weeks.

@Fei-Tao
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Fei-Tao commented Oct 28, 2024

@jaywonchung sounds great, thanks for your prompt response.

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Fei-Tao commented Oct 28, 2024

@editorialbot add @jaywonchung as reviewer

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@jaywonchung added to the reviewers list!

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Fei-Tao commented Nov 7, 2024

Hi @jcla490, @mjay42, @annlor, @RahulSundar, @LSRathore If you'd like to review this submission, please comment here! Feel free to unsubscribe from this issue if you are not interested. Thank you for your time!

@vict0rsch
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Hey, what is the ideal timeline here?

@Fei-Tao
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Fei-Tao commented Nov 7, 2024

Hi @vict0rsch, Thanks for asking. JOSS does not enforce hard constraint. It is recommended to complete the review in a month.

@jaywonchung
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I'm assuming we'll kickstart the actual review process with a separate issue once we have all the reviewers, right?

@Fei-Tao
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Fei-Tao commented Nov 11, 2024

@jaywonchung Yes. You are right. I am waiting to find another reviewer to start the review process.
Hi @vict0rsch, let me know if you are interested in reviewing this submission. Thanks for your consideration.

@vict0rsch
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Sure let's go!

@Fei-Tao
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Fei-Tao commented Nov 12, 2024

@vict0rsch Great. Thanks in advance for your time to review this submission.

@Fei-Tao
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Fei-Tao commented Nov 12, 2024

@editorialbot add @vict0rsch as reviewer

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@vict0rsch added to the reviewers list!

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Fei-Tao commented Nov 12, 2024

@editorialbot start review

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OK, I've started the review over in #7471.

@Fei-Tao
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Fei-Tao commented Nov 12, 2024

Thanks everyone! Looking forward to your reviews in #7471.

@RahulSundar
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Hi @Fei-Tao, Please sign me up for the review.

Hi @jcla490, @mjay42, @annlor, @RahulSundar, @LSRathore If you'd like to review this submission, please comment here! Feel free to unsubscribe from this issue if you are not interested. Thank you for your time!

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