<|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 2020-11-12 22:56:00, DoctorWho_BBCA from company bbc tweeted. The tweet was "50% time-traveling nurse + 50% Roman Centurion = 100% Rory Williams #DoctorWho <hyperlink>". The most similar tweets were, 
1. On 2018-01-28 13:00:55, CBCNews handle of company cbc tweeted. The tweet was "Turning 100, despite what the doctors said <hyperlink> <hyperlink>". This tweet got 158 number of likes. 
2. On 2020-05-12 13:09:51, Cisco_BE handle of company cisco tweeted. The tweet was "Today on #InternationalNursesDay, we celebrate nurses and the huge impact they have on the lives of their patients. Hear from Cisco's leaders as they #ThankaNurse: <hyperlink> <hyperlink>". This tweet got 3 number of likes. 
3. On 2020-04-07 20:03:13, Verizon handle of company verizon tweeted. The tweet was "Nurses. 👏 Doctors. 👏 First Responders. 👏 Thank you to all healthcare heroes and the essential organizations that keep them safe. 👏 <mention>  #WorldHealthDay <hyperlink>". This tweet got 63 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
