<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2020-04-27 21:44:24, CBCTheNational from company cbc tweeted. The tweet was "Canada’s top doctor expects the COVID-19 pandemic will bring profound changes to society, including more acceptance of regular mask-wearing. <mention> <hyperlink>". The most similar tweets were, 
1. On 2020-03-31 14:29:24, CBCTheNational handle of company cbc tweeted. The tweet was "There are a lot of mixed messages about wearing a mask to protect against COVID-19, so what should you do? <mention> <hyperlink>". This tweet got 61 number of likes. 
2. On 2020-06-16 11:47:17, CBCCanada handle of company cbc tweeted. The tweet was "Doctors call for Alberta to make wearing a mask mandatory in public <hyperlink> <hyperlink>". This tweet got 64 number of likes. 
3. On 2020-04-07 19:41:16, CBCToronto handle of company cbc tweeted. The tweet was "First Ontario-made medical masks ready for use, says premier <hyperlink> <hyperlink>". This tweet got 309 number of likr likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
339<|im_end|>
