<|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 2019-04-27 19:10:02, BBCCasualty from company bbc tweeted. The tweet was "Watch Iain get back to work in 10 MINUTES! ⏰8.20pm on <mention>

#Casualty <hyperlink>". The most similar tweets were, 
1. On 2019-01-20 16:50:58, Steverukavina handle of company cbc tweeted. The tweet was "Heading home from work soon: <hyperlink>". This tweet got 110 number of likes. 
2. On 2018-10-21 12:35:52, JasonBell33 handle of company bell tweeted. The tweet was "It’s about to go down, tune in to BBC 2 and watch the live coverage of ⁦<mention>⁩ vs ⁦<mention>⁩ <hyperlink>". This tweet got 354 number of likes. 
3. On 2018-08-27 20:00:11, PADI handle of company padi tweeted. The tweet was "Surviving the work week like...

📷: <mention> <hyperlink>". This tweet got 114 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
