Show Study predicted recruitment time
Returns the predicted recruitment time for a study that has not even been saved as a draft if it was published right now, based on a machine learning model.
The recruitment time is the time from publish to the time when the final participant starts their submission.
It does not account for the time to complete the submission.
Authentication
AuthorizationToken
Header authentication of the form Token <token>
Request
This endpoint expects an object.
filters
List of filters to apply to the count. This parameter uses the new, simplified
filters schema for interacting with eligibility.
workspace_id
The ID of the workspace the study will be created in.
reward
How much are you going to pay the participants in cents. We use the currency of the workspace
study_type
Type of study.
total_available_places
How many participants are you looking to recruit
estimated_completion_time
Estimated duration in minutes of the experiment or survey
device_compatibility
Add all devices that participants can use.
You can include one or more options.
Allowed values:
peripheral_requirements
Add all requirements that participants have to meet.
Allowed values:
study_labels
The field that the study is about to get tagged with.
Response
Return the predicted recruitment time for the study
precise_recruitment_time_hours
The predicted recruitment time in hours
lower_bound_hours
The lower bound of the predicted recruitment time in hours
upper_bound_hours
The upper bound of the predicted recruitment time in hours
display_string
A human-readable string representing the predicted recruitment time
limit_at
The limit at which the accuracy of the prediction becomes unstable. This should be used when rendering the recruitment times in a GUI. For example if the limit_at is 10, and the predicted recruitment time is 12 hours, the display string should be “10 hours+”. This has been done for you in the display_string field.