SCOPING - Lookit "Phantom"

MRI and similar equipment have a daily 'phantom' scan designed to make sure the machine is operating as expected, to give early warnings of any broad-based issues that could affect data quality. Lookit could have a similar 'always-on' study that served a similar function, by giving us fast feedback on things like:

- Recruitment speed
- Video quality (Especially for e.g. calibration & auto coding of video!)
- Family experience
- Lag & timing issues

Doing this would make sense if we could identify tests that could be run semi-automatically enough to give rapid feedback, while being fast enough that Lookit can cover family costs.

No files, tests, or entry points are named. Start by reviewing the Lookit API documentation and defining which semi-automated checks could measure recruitment speed, video quality, family experience, and lag or timing; done would require an agreed scope and feasibility plan for an always-on study.

Written by the indexing model from the issue text.