<|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 2018-02-03 21:10:03, BBCCasualty from company bbc tweeted. The tweet was "Next time on #Casualty! 🚑
It’s the day of Blake's trial and Bea’s one night stand leads her to find out Rash’s secret. <hyperlink>". The most similar tweets were, 
1. On 2018-01-14 19:00:00, ITG_Ltd handle of company independent tweeted. The tweet was "Sundays were made for crime dramas! The second episode of #Vera airs tonight at 8pm on <mention> 

Starring: <mention>
Executive Producer: #PhilHunter <hyperlink>". This tweet got 57 number of likes. 
2. On 2019-11-18 03:29:22, camdasilva handle of company cameron tweeted. The tweet was "Good job by Goff to look off the safety and find Blake Bortles open along the sideline

Best throw of the night <hyperlink>". This tweet got 802 number of likes. 
3. On 2019-04-09 12:41:22, MetroRadioNews handle of company metro tweeted. The tweet was "A Sunderland pensioner - with terminal cancer - has been able to tick an item off her bucket list and become a detective for a day

Officers from <mention> gave up their rest day to set up a fake crime for Margaret Thornton to solve <hyperlink>". This tweet got 81 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
