<|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 2019-07-08 16:16:58, BBCCasualty from company bbc tweeted. The tweet was "Order on the court! 🎾🍓
#Casualty will return this Saturday on <mention>! 🙌 <hyperlink>". The most similar tweets were, 
1. On 2020-11-02 16:49:16, RoyalFreeNHS handle of company free tweeted. The tweet was "#Hospital is back…

Monday 9 November at 9pm

<mention> <mention> <mention> <hyperlink>". This tweet got 68 number of likes. 
2. On 2020-10-01 16:02:34, barandbench handle of company bar tweeted. The tweet was "HC order refers to <mention> , <mention> , <mention> <mention> <mention> <mention>. 

Says <mention> showed that cremation was forcible <hyperlink>". This tweet got 95 number of likes. 
3. On 2018-04-21 12:00:00, virginmedia handle of company virgin media tweeted. The tweet was "Best of luck to <mention> in the #LondonMarathon tomorrow. 🎽 You’ll have some stiff competition from the Great British public 👟 <hyperlink>". This tweet got 267 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
