Closed whedon closed 3 years ago
Hello human, I'm @whedon, a robot that can help you with some common editorial tasks.
:warning: JOSS reduced service mode :warning:
Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post.
For a list of things I can do to help you, just type:
@whedon commands
For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:
@whedon generate pdf
Software report (experimental):
github.com/AlDanial/cloc v 1.88 T=0.62 s (173.1 files/s, 46561.3 lines/s)
-------------------------------------------------------------------------------
Language files blank comment code
-------------------------------------------------------------------------------
HTML 41 2021 0 18218
Python 48 1059 1221 4045
CSS 1 40 21 347
Markdown 7 88 0 284
Jupyter Notebook 5 0 1323 231
TeX 1 9 0 87
YAML 2 5 2 29
Bourne Shell 2 0 1 17
TOML 1 0 0 1
-------------------------------------------------------------------------------
SUM: 108 3222 2568 23259
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Statistical information for the repository '7885deb3e66e86d35ba27917' was
gathered on 2021/02/20.
The following historical commit information, by author, was found:
Author Commits Insertions Deletions % of changes
Avi A 1 1 0 0.01
Chandan Singh 73 8266 2387 74.80
Keyan Nasseri 48 2007 1581 25.19
Below are the number of rows from each author that have survived and are still
intact in the current revision:
Author Rows Stability Age % in comments
Chandan Singh 4965 60.1 2.5 8.64
Keyan Nasseri 1360 67.8 1.8 9.26
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- None
MISSING DOIs
- 10.1007/s10994-015-5528-6 may be a valid DOI for title: Supersparse linear integer models for optimized medical scoring systems
- 10.1214/15-aoas848 may be a valid DOI for title: Interpretable classifiers using rules and bayesian analysis: Building a better stroke prediction model
- 10.1201/9780367816377-16 may be a valid DOI for title: Interpretable machine learning
- 10.1214/07-aoas148 may be a valid DOI for title: Predictive learning via rule ensembles
INVALID DOIs
- None
Just added all the missing DOIs!
@whedon generate pdf
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
Anyone with experience in interpretable machine learning and python would make a great reviewer! Looking at the list of volunteer reviewers, I think the following people would make wonderful reviewers (starting from the bottom of the volunteer reviewer list):
hbaniecki, xiaohk, expectopatronum
Hi @galessiorob are you up for editing this submission?
@whedon invite @galessiorob as editor
@galessiorob has been invited to edit this submission.
@kthyng I'm spread out a bit thin at the moment, apologies for the delayed response.
👋 @cMadan - are you able to edit this perhaps?
@whedon invite @cMadan as editor
@cMadan has been invited to edit this submission.
I don't think I can take on another review at this time, sorry!
Hi @csinva, it looks like editor availability in this area is a bit low at the moment (many of our editors are at reduced capacity at the moment), so I'm going to put this in the waitlist for now.
@whedon invite @vissarion as editor
Hi @vissarion, could you edit this one?
@vissarion has been invited to edit this submission.
@whedon assign @vissarion as editor
OK, the editor is @vissarion
:wave: @RohitRathore1, @yxoos, @jungtaekkim, @juliensiebert, would any of you be willing to review this submission for JOSS? We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html
I am willing to review this submission.
I am open to review as well.
On Mon, Apr 19, 2021, 3:11 AM Jungtaek Kim @.***> wrote:
I am willing to review this submission.
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/openjournals/joss-reviews/issues/3046#issuecomment-822229579, or unsubscribe https://github.com/notifications/unsubscribe-auth/AIRXWO5HMSCJX6LI6YWSXYLTJPJSTANCNFSM4X5X5FJQ .
@whedon assign @jungtaekkim as reviewer
OK, @jungtaekkim is now a reviewer
@whedon add @yxoos as reviewer
OK, @yxoos is now a reviewer
@whedon start review
OK, I've started the review over in https://github.com/openjournals/joss-reviews/issues/3192.
Submitting author: @csinva (Chandan Singh) Repository: https://github.com/csinva/imodels Version: v0.2.7 Editor: @vissarion Reviewers: @jungtaekkim, @yxoos Managing EiC: Kevin M. Moerman
:warning: JOSS reduced service mode :warning:
Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post.
Author instructions
Thanks for submitting your paper to JOSS @csinva. Currently, there isn't an JOSS editor assigned to your paper.
@csinva if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). In addition, this list of people have already agreed to review for JOSS and may be suitable for this submission (please start at the bottom of the list).
Editor instructions
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