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[PRE REVIEW]: An Introduction to prismAId
: Open-Source and Open Science AI for Advancing Information Extraction in Systematic Reviews
#7569
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Five most similar historical JOSS papers: AstronomicAL: an interactive dashboard for visualisation, integration and classification of data with Active Learning AuDoLab: Automatic document labelling and classification for extremely unbalanced data FrESCO: Framework for Exploring Scalable Computational Oncology NiaAML: AutoML framework based on stochastic population-based nature-inspired algorithms
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👋 @ricboer0 - while I am getting you a topic editor assigned, please reduce the word count of your paper to around 1000 words. Thanks. |
@crvernon awesome, I'll work on that. Thanks. |
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Five most similar historical JOSS papers: PyExperimenter: Easily distribute experiments and track results LISC: A Python Package for Scientific Literature Collection and Analysis Mantik: A Workflow Platform for the Development of Artificial Intelligence on High-Performance Computing Infrastructures TextDescriptives: A Python package for calculating a large variety of metrics from text AstronomicAL: an interactive dashboard for visualisation, integration and classification of data with Active Learning |
Also, @ricboer0 - could you remove the formatting around prisimAId in your title in the paper. This causes issues in JOSS formatting. Thanks! |
@editorialbot assign me as editor I think I'll just take this on myself. |
Assigned! @crvernon is now the editor |
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Five most similar historical JOSS papers: PyExperimenter: Easily distribute experiments and track results
LISC: A Python Package for Scientific Literature Collection and Analysis PhysioLabXR: A Python Platform for Real-Time, Multi-modal, Brain–Computer Interfaces and Extended Reality Experiments daiR: an R package for OCR with Google Document AI |
Thanks @crvernon for the support so far. |
@ricboer0 - Let's leave the paper at its current length for now. The repo will be referenced in the final draft automatically once compiled, so no need to add an additional reference in text. Thanks! |
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Five most similar historical JOSS papers: PyExperimenter: Easily distribute experiments and track results PhysioLabXR: A Python Platform for Real-Time, Multi-modal, Brain–Computer Interfaces and Extended Reality Experiments
LISC: A Python Package for Scientific Literature Collection and Analysis Lumen: A software for the interactive visualization of probabilistic models together with data |
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Five most similar historical JOSS papers: PyExperimenter: Easily distribute experiments and track results PhysioLabXR: A Python Platform for Real-Time, Multi-modal, Brain–Computer Interfaces and Extended Reality Experiments
LISC: A Python Package for Scientific Literature Collection and Analysis High-performance neural population dynamics modeling enabled by scalable computational infrastructure |
👋 @philip928lin - Would you be willing to review this submission to 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 |
@crvernon Yes, I am willing to review this submission. Thanks for the invitation. |
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👋 @jhculb - Would you be willing to review this submission to 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 |
Hi, I think I should have some time to do so, yes :)
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@jhculb added to the reviewers list! |
@editorialbot start review 👋 - Alright @ricboer0, @philip928lin and @jhculb - I am going to close this Pre-Review and kick off the full review which you should receive a notification for. Thanks! |
OK, I've started the review over in #7616. |
Submitting author: @ricboer0 (Riccardo Boero)
Repository: https://github.com/open-and-sustainable/prismaid
Branch with paper.md (empty if default branch): joss-submission
Version: v0.6.4
Editor: @crvernon
Reviewers: @philip928lin, @jhculb
Managing EiC: Chris Vernon
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