<|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 2020-03-10 02:32:38, KPSCALnews from company kaiser permanente tweeted. The tweet was "Dr. Nancy Gin this evening helped separate facts from fears when it comes to understanding the coronavirus during a <mention> special news program. The goal was to help the public to better understand this infectious disease, but most of all, avoid panic. <hyperlink>". The most similar tweets were, 
1. On 2020-01-30 21:00:50, CBCNews handle of company cbc tweeted. The tweet was ""Our greatest concern is the potential for the virus to spread to countries with weaker health systems." The World Health Organization has declared the coronavirus outbreak a global health emergency. <hyperlink>". This tweet got 69 number of likes. 
2. On 2020-04-05 12:55:26, CBCKids handle of company cbc tweeted. The tweet was "WATCH NOW: PM <mention> and Dr. Theresa Tam answer kids' questions about coronavirus, on <mention>: <hyperlink> | <mention> <hyperlink>". This tweet got 664 number of likes. 
3. On 2020-03-02 12:05:18, CNN handle of company cnn tweeted. The tweet was "CNN's <mention> has a brand new podcast, “Coronavirus: Fact vs Fiction,” where he makes sense of the headlines, speaks with experts, and gives you the information you need to stay safe and healthy.

Subscribe and listen now: <hyperlink> <hyperlink>". This tweet got 922 number of 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
