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[PRE REVIEW]: CausalTables.jl: Simulating and storing data for statistical causal inference in Julia #7535

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editorialbot opened this issue Nov 27, 2024 · 34 comments
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Julia pre-review TeX Track: 5 (DSAIS) Data Science, Artificial Intelligence, and Machine Learning

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editorialbot commented Nov 27, 2024

Submitting author: @salbalkus (Salvador Balkus)
Repository: https://github.com/salbalkus/CausalTables.jl
Branch with paper.md (empty if default branch): main
Version: v1.1.1
Editor: @lrnv
Reviewers: @juliohm, @olivierlabayle
Managing EiC: Chris Vernon

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status

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HTML: <a href="https://joss.theoj.org/papers/68c43e832d063050a4e67528191e8148"><img src="https://joss.theoj.org/papers/68c43e832d063050a4e67528191e8148/status.svg"></a>
Markdown: [![status](https://joss.theoj.org/papers/68c43e832d063050a4e67528191e8148/status.svg)](https://joss.theoj.org/papers/68c43e832d063050a4e67528191e8148)

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

@salbalkus 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.

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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: 5 (DSAIS) Data Science, Artificial Intelligence, and Machine Learning labels Nov 27, 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:

@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 1.90  T=0.02 s (1208.3 files/s, 137492.7 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Julia                           10            435            681            765
Markdown                         9            236              0            738
YAML                             5              3              6            136
TeX                              1             10              1            129
TOML                             3              2              0             44
-------------------------------------------------------------------------------
SUM:                            28            686            688           1812
-------------------------------------------------------------------------------

Commit count by author:

   243	Salvador Balkus
    11	salbalkus
     8	CompatHelper Julia
     3	Nima Hejazi

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Paper file info:

📄 Wordcount for paper.md is 1916

✅ The paper includes a Statement of need section

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License info:

✅ License found: MIT License (Valid open source OSI approved license)

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@crvernon
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👋 @salbalkus - Please remove any formatting off the the title of your paper. This causes some issues in how our automated system handles things. Thanks.

@salbalkus
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Hi @crvernon, thanks for letting me know -- I just removed the backticks from the title. Let me know if there are still any issues.

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@editorialbot generate pdf

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Hello @salbalkus, here are the things you can ask me to do:


# List all available commands
@editorialbot commands

# Get a list of all editors's GitHub handles
@editorialbot list editors

# Adds a checklist for the reviewer using this command
@editorialbot generate my checklist

# Set a value for branch
@editorialbot set joss-paper as branch

# Run checks and provide information on the repository and the paper file
@editorialbot check repository

# Check the references of the paper for missing DOIs
@editorialbot check references

# Generates the pdf paper
@editorialbot generate pdf

# Generates a LaTeX preprint file
@editorialbot generate preprint

# Get a link to the complete list of reviewers
@editorialbot list reviewers

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lrnv commented Nov 29, 2024

@crvernon If you agree I'll take this one up ? Although I do not really understand hte current error message, only the topic ticked my eye ;)

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@editorialbot assign @lrnv as editor

All yours! Thank you!

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Assigned! @lrnv is now the editor

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@editorialbot generate pdf

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@salbalkus
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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:

CRE: An R package for interpretable discovery and inference of heterogeneous treatment effects
Submitting author: @naeemkh
Handling editor: @spholmes (Active)
Reviewers: @salleuska, @carlyls
Similarity score: 0.6415

medoutcon: Nonparametric efficient causal mediation analysis with machine learning in R
Submitting author: @nhejazi
Handling editor: @mikldk (Retired)
Reviewers: @erikcs, @rrrlw
Similarity score: 0.6350

tehtuner: An R package to fit and tune models for the conditional average treatment effect
Submitting author: @jackmwolf
Handling editor: @chartgerink (Retired)
Reviewers: @elimillera, @wwangstat
Similarity score: 0.6326

CVtreeMLE: Efficient Estimation of Mixed Exposures using Data Adaptive Decision Trees and Cross-Validated Targeted Maximum Likelihood Estimation in R
Submitting author: @blind-contours
Handling editor: @osorensen (Active)
Reviewers: @GaryBAYLOR, @cpalmer718, @wleoncio
Similarity score: 0.6272

txshift: Efficient estimation of the causal effects of stochastic interventions in R
Submitting author: @nhejazi
Handling editor: @marcosvital (Active)
Reviewers: @klmedeiros, @joethorley
Similarity score: 0.6249

⚠️ 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.

@salbalkus
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@crvernon @lrnv The paper pdf build is now working

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lrnv commented Dec 7, 2024

@salbalkus Thanks. Greatings btw, I'll be your editor on this submission then. Our first task is to find two-to-three suitable reviewers for this work. Would you by chance be able to propose a few ones ?

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salbalkus commented Dec 8, 2024

@lrnv Absolutely. It's unfortunate that the editorialbot detected all R packages; I think blind-contours would be a good reviewer for the topic if they know Julia.

olivierlabayle may be interested in reviewing since this paper cites TMLE.jl.

Otherwise, looking through the JOSS database, some potential reviewers include juliohm, epiben, and gdalle.

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lrnv commented Dec 8, 2024

@salbalkus I removed @ s from your message to avoid pinging everyone. Let me do that instead, thanks for the suggestions.

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juliohm commented Dec 8, 2024 via email

@olivierlabayle
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I am happy to review

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lrnv commented Dec 11, 2024

@editorialbot assign @juliohm as reviewer

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I'm sorry human, I don't understand that. You can see what commands I support by typing:

@editorialbot commands

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lrnv commented Dec 11, 2024

@editorialbot add @juliohm as reviewer

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@juliohm added to the reviewers list!

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lrnv commented Dec 11, 2024

@editorialbot add @olivierlabayle as reviewer

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@olivierlabayle added to the reviewers list!

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lrnv commented Dec 11, 2024

@juliohm @olivierlabayle @salbalkus Okay then, let us close this thread and start up the review process in the next one.

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lrnv commented Dec 11, 2024

@editorialbot start review

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OK, I've started the review over in #7580.

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