CITATION.cff

cff-version: 1.2.0
title: ASReview LAB - A tool for AI-assisted systematic reviews
message: >-
  If you use the ASReview software in your work, please cite it as indicated.
  For referencing the underlying methodology, cite Van de Schoot et
  al. (2021 - https://doi.org/10.1038/s42256-020-00287-7).

type: software
authors:
  - given-names: ASReview LAB developers
    affiliation: Utrecht University
    email: asreview@uu.nl
identifiers:
  - type: doi
    value: 10.1038/s42256-020-00287-7
    description: >-
      van de Schoot, R., de Bruin, J., Schram, R. et al. An
      open source machine learning framework for efficient
      and transparent systematic reviews. Nat Mach Intell 3,
      125–133 (2021).
repository-code: "https://github.com/asreview/asreview"
url: "https://asreview.ai"
repository-artifact: "https://pypi.org/project/asreview/"
abstract: >-
  The Active learning for Systematic Reviews (ASReview)
  project implements learning algorithms that interactively
  query the researcher. This way of interactive training is
  known as Active Learning. ASReview offers support for
  classical learning algorithms and state-of-the-art
  learning algorithms like neural networks. ASReview LAB is
  the graphical user interface of the open-source research
  software and ships with an Oracle, Exploration, and
  Simulation Mode.
keywords:
  - systematic review
  - prisma
  - active learning
  - statistics
  - machine learning
  - text data
  - natural language processing
  - human-in-the-loop
license: Apache-2.0