<|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 2018-09-06 13:30:30, UPMCPhysicianEd from company upmc tweeted. The tweet was "Daniel Weiner, MD, discusses advanced treatment options and current research on pediatric #CysticFibrosis patients. #CF <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-07-04 14:03:51, TheCurrentCBC handle of company cbc tweeted. The tweet was ".<mention> has cystic fibrosis and wants to talk about it. He and his two closest friends, <mention> and <mention>, all host <mention> changing how people view illness from #Cancer to #depression to epilepsy.

<hyperlink> <hyperlink>". This tweet got 43 number of likes. 
2. On 2020-09-28 21:07:04, pfizer_news handle of company pfizer tweeted. The tweet was "Today’s <mention> approval of our oral treatment option for polyarticular course juvenile idiopathic #arthritis (#pcJIA) is an important milestone for this patient community: <hyperlink> <hyperlink>". This tweet got 5 number of likes. 
3. On 2020-10-19 14:33:01, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "Read the <mention> 's report evaluating medicines to treat children and #RareDisease patients via this link:

<hyperlink>

 #Care4Rare <hyperlink>". This tweet got 1 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
