<|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 2019-12-13 20:10:08, CPHO_Canada from company tam tweeted. The tweet was "Improving access to testing and treatment while reducing stigma are two important commitments of the Government’s action plan to reduce the impact of sexually transmitted and blood-borne infections. Find out more in this month’s #CCDReport: <hyperlink> #WeekendReads <hyperlink>". The most similar tweets were, 
1. On 2020-05-05 12:55:00, free_equal handle of company free tweeted. The tweet was "Did you know that stigma and discrimination leaves #LGBTI people extra vulnerable during the #Covid19 emergency? Here’s how you can help:

#StandUp4HumanRights <hyperlink>". This tweet got 51 number of likes. 
2. On 2019-01-26 01:45:49, FSCArmy handle of company free tweeted. The tweet was "Thanks to our panelists Dr. David Holland, Matthew Rose, <mention> <mention> of <mention> for taking the time to share wisdom @ today’s HIV Stigma &amp; Prevention Panel <mention> thank you <mention> for moderating &amp; thanks to everyone in attendance!
#UnitedWeStand 🇺🇸 <hyperlink>". This tweet got 44 number of likes. 
3. On 2020-04-21 14:00:00, free_equal handle of company free tweeted. The tweet was "Access to health services saves lives! We’re calling on governments to make sure essential medical treatment for #LGBTI people continues during the #Covid19 crisis. RT to spread the word.

#StandUp4HumanRights <hyperlink>". This tweet got 51 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
