<|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 2019-09-02 07:12:14, BBCWthrWatchers from company bbc tweeted. The tweet was "The #aurora season begins! 😍

Stunning scenes across northern Scotland last night. A repeat tonight is not out of the question either <hyperlink>". The most similar tweets were, 
1. On 2018-02-26 10:53:01, MetroVideoGame handle of company metro tweeted. The tweet was "We're getting reports of #uksnow. Nothing The Aurora can't handle. <hyperlink>". This tweet got 299 number of likes. 
2. On 2019-08-07 20:08:14, cbcnewsbc handle of company cbc tweeted. The tweet was "British Columbians get 'rare' glimpse of aurora borealis  <hyperlink> <hyperlink>". This tweet got 48 number of likes. 
3. On 2019-01-11 19:30:00, CBC handle of company cbc tweeted. The tweet was "6 amazing things you probably didn't know about the northern lights. | <mention> <hyperlink> <hyperlink>". This tweet got 116 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
