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[PRE REVIEW]: Redflag: machine learning safety by design #5922
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Five most similar historical JOSS papers: Yellowbrick: Visualizing the Scikit-Learn Model Selection Process Feature-engine: A Python package for feature engineering for machine learning c212: An R Package for the Detection of Safety Signals in Clinical Trials Using Body-Systems (System Organ Classes) HARDy: Handling Arbitrary Recognition of Data in Python ADaPT-ML: A Data Programming Template for Machine Learning |
@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! |
@editorialbot assign @mbobra as editor |
Assigned! @mbobra is now the editor |
👋 @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). |
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. |
👋 @kwinkunks I am still working on finding referees -- I will keep you updated. |
@editorialbot add @jsheunis as reviewer |
@jsheunis added to the reviewers list! |
@editorialbot add @kaurao as reviewer |
@kaurao added to the reviewers list! |
@editorialbot start review |
OK, I've started the review over in #6065. |
👋 @jsheunis @kaurao @kwinkunks See you in #6065 for the review. |
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
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