<|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 2018-04-17 15:00:04, CNN from company cnn tweeted. The tweet was "Scientists have accidentally developed a plastic-eating enzyme that may be used to combat one of the world's worst pollution problems <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-09-13 15:31:04, CNN handle of company cnn tweeted. The tweet was "These mealworms can eat some types of plastic waste -- and harnessing their biology could present new opportunities for how we deal with pollution: <hyperlink> #CallToEarth <hyperlink>". This tweet got 1803 number of likes. 
2. On 2019-01-24 14:52:49, CNN handle of company cnn tweeted. The tweet was "How to solve the world’s plastics problem: Bring back the milk man <hyperlink> <hyperlink>". This tweet got 516 number of likes. 
3. On 2020-12-24 07:00:53, Greenpeace handle of company greenpeace tweeted. The tweet was "The plastic pollution crisis is one of the most visible symptoms of a broken system that is failing both us and the planet we call home.

Together we can built a plastic-free future. Check our toolkit  &gt;&gt;&gt; <hyperlink> <hyperlink>". This tweet got 307 number of likr 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
769<|im_end|>
