<|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 2020-04-01 20:01:56, DoctorWho_BBCA from company bbc tweeted. The tweet was "Thank you for joining us for the #SpyMaster rewatch, <mention> and <mention>! <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 2020-12-14 22:05:37, RoyalFreeNHS handle of company free tweeted. The tweet was "Thanks for tuning in to the final episode of #Hospital. From day 1 of lockdown to the hope of the vaccine it has been a privilege with <mention> to share how the #NHS has responded.Thanks to the staff &amp; patients who took part.Our hearts go out to those who have lost loved ones <hyperlink>". This tweet got 186 number of likes. 
3. On 2018-01-20 18:41:51, TotalDivas handle of company total tweeted. The tweet was "We spy <mention> and <mention> being serious #squadgoals as per usual. ❤️ #TotalDivas <hyperlink>". This tweet got 1096 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
