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[PRE REVIEW]: Redflag: machine learning safety by design #5922

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editorialbot opened this issue Oct 3, 2023 · 19 comments
Closed

[PRE REVIEW]: Redflag: machine learning safety by design #5922

editorialbot opened this issue Oct 3, 2023 · 19 comments
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pre-review Python TeX Track: 5 (DSAIS) Data Science, Artificial Intelligence, and Machine Learning

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editorialbot commented Oct 3, 2023

Submitting author: @kwinkunks (Matt Hall)
Repository: https://github.com/scienxlab/redflag
Branch with paper.md (empty if default branch): paper
Version: v0.4.1
Editor: @mbobra
Reviewers: @jsheunis, @kaurao
Managing EiC: Arfon Smith

Status

status

Status badge code:

HTML: <a href="https://joss.theoj.org/papers/e1ca575ec0c5344144f87176539ef547"><img src="https://joss.theoj.org/papers/e1ca575ec0c5344144f87176539ef547/status.svg"></a>
Markdown: [![status](https://joss.theoj.org/papers/e1ca575ec0c5344144f87176539ef547/status.svg)](https://joss.theoj.org/papers/e1ca575ec0c5344144f87176539ef547)

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

@kwinkunks 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:

@editorialbot commands
@editorialbot editorialbot added pre-review Track: 5 (DSAIS) Data Science, Artificial Intelligence, and Machine Learning labels Oct 3, 2023
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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:

@editorialbot commands

For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:

@editorialbot generate pdf

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Software report:

github.com/AlDanial/cloc v 1.88  T=0.11 s (428.0 files/s, 96035.1 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                          17            933           2034           1681
Markdown                        14            165              0            375
Jupyter Notebook                 5              0           4496            295
SVG                              2              2              2            261
YAML                             4             23              0            105
TOML                             1              9              2             68
CSS                              1              7              3             60
reStructuredText                 2             58             81             55
TeX                              1              2              0             34
make                             1              4              3             13
-------------------------------------------------------------------------------
SUM:                            48           1203           6621           2947
-------------------------------------------------------------------------------


gitinspector failed to run statistical information for the repository

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Wordcount for paper.md is 816

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

OK DOIs

- 10.3390/ijerph18126329 is OK
- 10.25080/Majora-92bf1922-00a is OK

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:

Yellowbrick: Visualizing the Scikit-Learn Model Selection Process
Submitting author: @bbengfort
Handling editor: @arfon (Active)
Reviewers: @mnarayan
Similarity score: 0.7963

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c212: An R Package for the Detection of Safety Signals in Clinical Trials Using Body-Systems (System Organ Classes)
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Reviewers: @rrrlw, @MelvinSMunsaka
Similarity score: 0.7938

HARDy: Handling Arbitrary Recognition of Data in Python
Submitting author: @MariaPoliti
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Reviewers: @andrewtarzia, @alberto-battistel
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ADaPT-ML: A Data Programming Template for Machine Learning
Submitting author: @nulberry
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Reviewers: @aaronpeikert, @wincowgerDEV
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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 before considering asking the reviewers of these papers to review again for JOSS.

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arfon commented Oct 3, 2023

@kwinkunks - thanks for your submission to JOSS. We're currently managing a large backlog of submissions and the editor most appropriate for your area is already rather busy.

For now, we will need to waitlist this paper and process it as the queue reduces. Thanks for your patience!

@arfon arfon added the waitlisted Submissions in the JOSS backlog due to reduced service mode. label Oct 3, 2023
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mbobra commented Oct 31, 2023

@editorialbot assign @mbobra as editor

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Assigned! @mbobra is now the editor

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mbobra commented Oct 31, 2023

👋 @kwinkunks Thanks for your submission! If you have any suggestions for reviewers, please let me know here (you can give me the Github handle without @ mentioning them, e.g. mbobra instead of @mbobra).

@mbobra mbobra removed the waitlisted Submissions in the JOSS backlog due to reduced service mode. label Oct 31, 2023
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Hi Monica - thanks for looking at this. I thought the following folks looked like they might be suitable: dionhaefner, szkafander, jsheunis - and I don't know any of these folks.

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mbobra commented Nov 15, 2023

👋 @kwinkunks I am still working on finding referees -- I will keep you updated.

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mbobra commented Nov 16, 2023

@editorialbot add @jsheunis as reviewer

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@jsheunis added to the reviewers list!

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mbobra commented Nov 16, 2023

@editorialbot add @kaurao as reviewer

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@kaurao added to the reviewers list!

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mbobra commented Nov 16, 2023

@editorialbot start review

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OK, I've started the review over in #6065.

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mbobra commented Nov 16, 2023

👋 @jsheunis @kaurao @kwinkunks See you in #6065 for the review.

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