ASReview LAB guide
==================

ASReview LAB is a user-friendly, web-based application designed to make
the systematic review process more efficient. Built on the powerful ASReview Python package,
it leverages state-of-the-art active learning algorithms to make systematic
reviews faster, more efficient, and transparent. Whether you are conducting
a systematic review for academic research, policy-making, or other purposes,
ASReview LAB provides an intuitive interface and robust tools to support your work.

The application is highly versatile, enabling users to screen large datasets,
simulate review processes, and manage projects with ease. By integrating
machine learning, ASReview LAB reduces the workload of reviewers while
maintaining high accuracy and reproducibility.

.. seealso::

    Questions can be asked on `GitHub Discussions
    <https://github.com/asreview/asreview/discussions>`__. For bug reports and
    feature requests, please submit an issue on `GitHub
    <https://github.com/asreview/asreview/issues/new/choose>`__.

.. toctree::
    :caption: Getting started
    :maxdepth: 2

    about
    openscience
    installation
    start
    troubleshooting


.. toctree::
    :caption: Data
    :maxdepth: 2

    data
    data_format
    data_labeled

.. toctree::
    :caption: AI Models
    :maxdepth: 2

    models
    dory

.. toctree::
    :caption: Reviews and projects
    :maxdepth: 2

    project_create
    screening
    progress
    validation
    manage


.. toctree::
    :caption: Simulation
    :maxdepth: 2

    simulation_overview
    simulation_cli
    simulation_api_example
