<|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 2018-05-21 14:00:43, UPMCpolicy from company upmc tweeted. The tweet was "ICYMI: <mention> held a policy briefing for elected officials &amp; staff last week. Topics discussed included the #opioidcrisis, Medicaid managed care, drug pricing, and more.

Thank you all for your interest and attendance. <hyperlink>". The most similar tweets were, 
1. On 2019-02-13 21:25:48, WalmartAction handle of company walmart tweeted. The tweet was "We're wrapping up our Americans &amp; Health segment of the conference w/ a panel on facing the opioid epidemic in America w/ <mention> &amp; The Austin Box "12" Foundation #ConfonAmericanLife <hyperlink>". This tweet got 8 number of likes. 
2. On 2018-08-11 16:17:00, AARPadvocates handle of company aarp tweeted. The tweet was "Tell Congress to stand up to drug companies, and not raise Rx costs for seniors! <hyperlink> #PeopleOverProfits <hyperlink>". This tweet got 52 number of likes. 
3. On 2018-03-11 18:44:45, cnnbrk handle of company cnn tweeted. The tweet was "Exclusive: Doctors who got more money from opioid makers were more likely to prescribe large amounts of opioids as the crisis ravaged the US <hyperlink> <hyperlink>". This tweet got 983 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
