The COVID-19 outbreak of 2019-2020 has been a matter of large public concern. In fact, this very website is running a competition to encourage good forecasting of questions related to this outbreak. However, it remains to be seen how well the community will predict on these questions.

On 12:00 am on the 20th of January 2021 (UTC), what will the average log score of the community prediction (at question closing time) be for COVID-19-related binary questions?

For context, the current average log score of the community prediction on all binary questions is 0.154.

This resolves based on the average score displayed on the 'Track Record' page for the community prediction using the log score, filtered to restrict to the 'Novel coronavirus' category. Should this page not exist, or be structured so differently as to make this description meaningless, resolution will be up to moderators' discretion.

This question shall not resolve before 12:00 am on the 21st of January 2021 (UTC).

Note: the Metaculus definition of log-scores has changed from $-1/4 log_2(p)$ to $log_2(p) + 1$. This question resolves as the log-score according to the previous definition, score=$-1/4 log_2(p)$.