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cff-version: 1.2.0 | ||
title: >- | ||
ASReview Makita: a workflow generator for simulation | ||
studies using the command line interface of ASReview LAB | ||
message: >- | ||
If you use this software, please cite it using the | ||
metadata from this file. | ||
type: software | ||
authors: | ||
- given-names: Jelle | ||
family-names: Teijema | ||
email: [email protected] | ||
affiliation: Utrecht University | ||
orcid: 'https://orcid.org/0000-0001-9282-4311' | ||
- given-names: Rens | ||
family-names: Van de Schoot | ||
email: [email protected] | ||
affiliation: Utrecht University | ||
orcid: 'https://orcid.org/0000-0001-7736-2091' | ||
- given-names: Gerbrich | ||
family-names: Ferdinands | ||
orcid: 'https://orcid.org/0000-0002-4998-3293' | ||
- given-names: Peter | ||
family-names: Lombaers | ||
affiliation: IDFuse | ||
orcid: 'https://orcid.org/0000-0002-8780-9376' | ||
- given-names: Jonathan | ||
family-names: De Bruin | ||
email: [email protected] | ||
affiliation: Utrecht University | ||
orcid: 'https://orcid.org/0000-0002-4297-0502' | ||
repository-code: 'https://github.com/asreview/asreview-makita' | ||
url: 'https://asreview.ai/' | ||
repository-artifact: 'https://pypi.org/project/asreview-makita/' | ||
abstract: >- | ||
ASReviews' Makita (MAKe IT Automatic) is a workflow | ||
generator for simulation studies using the command line | ||
interface of ASReview LAB. Makita can be used to | ||
effortlessly generate the framework and code for your | ||
simulation study. | ||
A simulation involves mimicking the screening process for | ||
a systematic review of a human in interaction with an | ||
Active learning model (i.e., a combination of a feature | ||
extractor, classifier, balancing method, and query | ||
strategy). The simulation reenacts the screening process | ||
as if a researcher were using active learning. The | ||
performance of one or multiple model(s) can then be | ||
measured by performance metrics, such as the Work Saved | ||
over Sampling, recall at a given point in the screening | ||
process, or the average time to discover a relevant | ||
record. | ||
Using Makita templates, different study structures can be | ||
generated to fit the needs of your very own study. If your | ||
study requires a unique template, you can create a new one | ||
and use it instead. | ||
keywords: | ||
- systematic-review | ||
- simulation | ||
- asreview | ||
- machine-learning | ||
- active-learning | ||
- template | ||
license: MIT |