<|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 2018-08-29 14:44:30, BBCOne from company bbc tweeted. The tweet was "AC-12 reporting for duty. The gang are BACK for #LOD5. <mention> #AdrianDunbar <mention>. <hyperlink>". The most similar tweets were, 
1. On 2018-02-01 14:24:06, AMCtvUK handle of company amc tweeted. The tweet was "The #LawAndOrder gang is back in town. 🕵️ <hyperlink>". This tweet got 1 number of likes. 
2. On 2018-09-11 18:08:09, JasonBell33 handle of company bell tweeted. The tweet was "Back with the gang on <mention> tonight!

#BBCNFL <hyperlink>". This tweet got 704 number of likes. 
3. On 2020-01-21 13:05:34, IndependentNGR handle of company independent tweeted. The tweet was "Breaking: Police Parade Killers Of Firman Generator Boss <hyperlink> <hyperlink>". This tweet got 0 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
