STAR-ML is a generalized tool that can assess the quality of the reporting of Machine Learning (ML) in research articles quickly and consistently. This new tool will allow for filtering ML-related papers that can be included in a systematic or scoping review by ensuring transparent, reproducible, and correct screening of research for inclusion in the review article. It can also be utilized as a guideline when drafting a new manuscript to improve the quality of ML technique reported.

We are currently conducting a study to validate STAR-ML in a larger population and are currently looking for individuals with varying degrees of experience.

To be able to participate in the study:

• You should be 18 years or older
• Have a basic idea of ML
• Have a Bachelor’s degree or higher, or be currently enrolled in an undergraduate granting institution and
• Be able to read and understand English Please note that participation is voluntary. This web-based survey is anonymous and confidential. No one will be able to match identities to individual survey responses.

The survey will take approximately 50 to 60 minutes to complete. To thank you for your time and acknowledge your contribution to this collective effort, you will be able to be entered into a draw for one of the 10 $50 Gift cards at the end of the study.

Note: I am not personally involved with this study but am trying to help them get more participants