The study was entirely about the probabalistic triggering. That's what I was after. I was actually studying one shot learning and how it learns and forgets a single training example.

More detail:

Trained like ~500 runs.

Each run was: - inference 5k times to make sure question isn't guessable - Train on one shot of a non guessable question. - inference 800 times for a % remembered

Then do this 200 times per run: - train one step on a different normal dataset - inference 800 times on the Q