<|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 2019-09-01 15:15:16, CPHO_Canada from company tam tweeted. The tweet was "We all have a role in improving #antibiotic use and addressing the significant global health threat of #AntibioticResistance.<mention> 
Learn more: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-09-02 11:14:05, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "Join us on 10th September for our online meeting as we rethink how we secure and value antibiotics for the future in the face of the ongoing #AntiMicrobialResistance crisis. Sign up here: <hyperlink> <hyperlink>". This tweet got 6 number of likes. 
2. On 2020-10-05 09:02:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "The threat posed by #AntiMicrobialResistance has not gone away. We are contributors to the <mention> which aims to bring up to four new #antibiotics to patients by 2030.

Read more about this groundbreaking initiative here:
<hyperlink>

#PfizerProud <hyperlink>". This tweet got 3 number of likes. 
3. On 2020-01-31 16:00:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "We are a member of the <mention>. Read more about its mission to combat the threat of #AntiMicrobialResistance 👇 #AMR
<hyperlink> <hyperlink>". This tweet got 1 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
