<|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 2018-04-22 00:00:23, UNICEF from company unicef tweeted. The tweet was "Getting weighed! 

We’re working tirelessly in #Zambia to make sure all newborns, children, adolescents and pregnant women, can access health services. <hyperlink>". The most similar tweets were, 
1. On 2018-10-03 17:42:57, MTN_Zambia handle of company mtn tweeted. The tweet was "Watch this space...great things ahead! <hyperlink>". This tweet got 69 number of likes. 
2. On 2020-02-11 14:55:32, IndependentNGR handle of company independent tweeted. The tweet was "Health Indices In Gombe Far Below Expectation, UNICEF Tells Inuwa <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
3. On 2019-04-10 20:30:01, CiscoCollab handle of company cisco tweeted. The tweet was "Discover how a small wearable device is saving newborn babies in Uganda: <hyperlink> <hyperlink>". This tweet got 3 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
