<|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 2019-01-22 07:00:00, PfizerEUPolicy from company pfizer tweeted. The tweet was "“Using data to predict relationships between biological mechanisms and symptoms is where the task of pharma #R&amp;D and the tools of #AI intersect.” #bigdata <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-03-27 16:00:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "By leveraging real-world data, we can tap into the experience of hundreds of thousands of patients to better understand where different medications might work best. 💊 Read more about how data is enhancing medical #innovation:

<hyperlink> #GetScience <hyperlink>". This tweet got 0 number of likes. 
2. On 2019-07-11 14:35:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "Our purpose is to develop breakthroughs that change patients' lives. While doing so, we are committed to minimize our impact on the #environment. 
#EU <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2019-03-06 08:30:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "Though clinical trial #data is an important piece of the puzzle, new data sources are essential to push the boundaries of #cancer research. Read more:

<hyperlink> <mention> <hyperlink>". This tweet got 6 number of likr 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
2<|im_end|>
