<|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 2019-11-30 19:45:07, UNICEF from company unicef tweeted. The tweet was "Thousands of children like this boy in Mozambique are put in danger and miss out on school every year due to #ClimateChange related events. 

We need #ClimateAction NOW. Children’s futures depend on it. #COP25 <hyperlink>". The most similar tweets were, 
1. On 2019-03-14 05:31:03, CNN handle of company cnn tweeted. The tweet was "Kids around the world plan to skip school this Friday to demand action on climate change <hyperlink> <hyperlink>". This tweet got 666 number of likes. 
2. On 2019-03-14 13:19:45, CNN handle of company cnn tweeted. The tweet was "Kids around the world plan to skip school this Friday to demand action on climate change <hyperlink> <hyperlink>". This tweet got 517 number of likes. 
3. On 2019-03-14 09:13:53, CNN handle of company cnn tweeted. The tweet was "Kids around the world plan to skip school this Friday to demand action on climate change <hyperlink> <hyperlink>". This tweet got 694 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
