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[PRE REVIEW]: METISSE: METhod of Interpolation for Single Star Evolution #7877

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editorialbot opened this issue Mar 5, 2025 · 7 comments
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Fortran HTML pre-review TeX Track: 1 (AASS) Astronomy, Astrophysics, and Space Sciences

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Submitting author: @poojanagrawal (Poojan Agrawal)
Repository: https://github.com/TeamMETISSE/METISSE
Branch with paper.md (empty if default branch): JOSS
Version: v1.0.0
Editor: Pending
Reviewers: Pending
Managing EiC: Warrick Ball

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Markdown: [![status](https://joss.theoj.org/papers/7eba39bacad41ea911e0086dbe4f5415/status.svg)](https://joss.theoj.org/papers/7eba39bacad41ea911e0086dbe4f5415)

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@editorialbot editorialbot added pre-review Track: 1 (AASS) Astronomy, Astrophysics, and Space Sciences labels Mar 5, 2025
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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 1.98  T=0.06 s (1212.5 files/s, 274756.7 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Fortran 90                      18           1175            731           4768
SVG                              1              0              0           2671
HTML                            11            258             44           2312
JavaScript                      12            138            228            912
CSS                              5            190             35            784
Markdown                        10            416             12            723
TeX                              1             16              0            173
Text                             3             96              0            161
make                             2             31             10             71
Python                           1             30             44             68
YAML                             3             17             50             52
DOS Batch                        1              8              1             26
Fortran 77                       3              9              8             22
reStructuredText                 1              6             14              5
-------------------------------------------------------------------------------
SUM:                            72           2390           1177          12748
-------------------------------------------------------------------------------

Commit count by author:

    94	poojanagrawal
    11	Poojan
    10	Runqiu_Ye
     1	Steven Rieder

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

✅ OK DOIs

- 10.1046/j.1365-8711.2000.03426.x is OK
- 10.1046/j.1365-8711.2002.05038.x is OK
- 10.1093/mnras/staa2264 is OK
- 10.1093/mnras/stac930 is OK
- 10.1051/0004-6361/202244044 is OK
- 10.1093/mnras/stad2334 is OK
- 10.3847/1538-4357/ab9d85 is OK
- 10.1093/mnras/stad1630 is OK
- 10.1093/mnras/sty2190 is OK
- 10.1051/0004-6361/202141536 is OK

🟡 SKIP DOIs

- None

❌ MISSING DOIs

- None

❌ INVALID DOIs

- None

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Paper file info:

📄 Wordcount for paper.md is 774

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

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Five most similar historical JOSS papers:

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binary_c-python: A Python-based stellar population synthesis tool and interface to binary_c
Submitting author: @ddhendriks
Handling editor: @eloisabentivegna (Retired)
Reviewers: @trappitsch, @schristophe
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The Dusty Evolved Star Kit (DESK): A Python package for fitting the Spectral Energy Distribution of Evolved Stars
Submitting author: @s-goldman
Handling editor: @arfon (Active)
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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 considering asking the reviewers of these papers to review again for JOSS.

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