<|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 2020-04-10 23:30:00, CBCNews from company cbc tweeted. The tweet was "Dr. Nadia Alam is on the front lines of the coronavirus pandemic in Ontario, putting critically ill patients on life support. But at home, her four children are afraid that she, too, may get sick. <mention> <hyperlink>". The most similar tweets were, 
1. On 2020-05-17 09:29:07, CBCNS handle of company cbc tweeted. The tweet was "'Hard-working mom' who did anything for her children dies of COVID-19 at Northwood <hyperlink> <hyperlink>". This tweet got 54 number of likes. 
2. On 2020-04-10 18:07:20, CBCNews handle of company cbc tweeted. The tweet was "Dr. Nadia Alam of Georgetown, Ont., tells <mention> how one elderly patient didn't want to be on a ventilator and how her children are afraid that she, too, may get sick. <hyperlink>". This tweet got 386 number of likes. 
3. On 2020-03-31 18:00:00, CBCTheNational handle of company cbc tweeted. The tweet was "A family medicine resident is recognizing the unsung heroes he works with on the COVID-19 front lines. <mention> <hyperlink>". This tweet got 72 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
149<|im_end|>
