For a later phase of ERI, create system for continual tuning of ORES scores.
What is "ORES decision data"?
@catrolpe, I edited the task title. Does that help?
Yes, that helps, thanks.
IIRC @Halfak said something about this data not being directly suitable for training (because it was influenced by ORES's decision, so there's a feedback loop), but he also said that storing false positives would be useful.
Indeed. Storing false positives helps us notice trends and prioritize new work to make the models more effective.
See https://www.wikidata.org/wiki/Wikidata:ORES/Report_mistakes for an example of how we usually work with misclassification reports.
Essentially, this maps to Jade integration for ERI. See T209653: "Report error" button for ORES recent changes filter