<|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 2020-06-12 08:00:14, BBCDoctors from company bbc tweeted. The tweet was "Today - a very special Doctors! This 45 minute episode was shot by our cast on their mobiles. 

This is the last episode before our summer break, so don't miss it.

BBC One, 1:45pm <hyperlink>". The most similar tweets were, 
1. On 2018-06-04 07:18:26, RadioFreeSkaro handle of company free tweeted. The tweet was "Doctor Who returns to BBC iPlayer - with every episode since 2005 available to watch <hyperlink> #DoctorWho <hyperlink>". This tweet got 64 number of likes. 
2. On 2018-06-01 14:54:28, RadioFreeSkaro handle of company free tweeted. The tweet was "Sunday on RFS #638, we talk about #DoctorWho missing episodes with <mention>, and we get follow up reaction from <mention>! <hyperlink>". This tweet got 47 number of likes. 
3. On 2019-08-23 20:49:22, CBC handle of company cbc tweeted. The tweet was "Move over pseudoscience, there's a real doctor in the house and she's here to set the record straight! You won't want to miss <mention>'s new series, Jensplaining: <hyperlink> <hyperlink>". This tweet got 56 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
