<|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 2020-03-11 14:07:24, CBCNews from company cbc tweeted. The tweet was "Doctors, nurses fear Canada may be in the calm before the coronavirus storm: respirologist <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-04-11 10:30:00, CBCNL handle of company cbc tweeted. The tweet was "NEW | 'Extremely anxious' health care workers step up to staff COVID-19 ward

By: <mention> 

<hyperlink>

#cbcnl #covid19nfld <hyperlink>". This tweet got 90 number of likes. 
2. On 2020-09-16 08:40:04, CBCOttawa handle of company cbc tweeted. The tweet was "ICU doctor sounds note of optimism amid worrying surge in COVID-19 cases <hyperlink> #ottnews #ottawa <hyperlink>". This tweet got 42 number of likes. 
3. On 2020-07-17 10:58:17, CBCToronto handle of company cbc tweeted. The tweet was "Pandemic-rattled Canadians still cautious about everything from schools to second lockdowns, polls say <hyperlink> <hyperlink>". This tweet got 48 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
82<|im_end|>
