These are automatically generated upon detecting any signs that a new account may be a spam account.
Some common examples of this include non-unique IP Addresses, non-unique devices, etc. These may indicate that the same individual is attempting to create multiple accounts for one study and is potentially not acting in good faith, which would then skew study data.
Each event of potential spam detection includes patient name, data, the type of event, any necessary details, and a % that indicates how likely it is that the account is spam.
