<|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 2019-06-13 14:01:05, CPHO_Canada from company tam tweeted. The tweet was "In 2017, Canadians filled over 24 million #antibiotic prescriptions, mostly in community pharmacies. Up to 30% of these may have been unnecessary. Learn more about antibiotic use: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-02-26 09:00:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "Each year 700,000 people across the globe die from antibiotic-resistent infections. #Vaccines play a key part in the fight against this antimicrobial resistance (#AMR), read more here ➡️

<hyperlink> <hyperlink>". This tweet got 4 number of likes. 
2. On 2019-05-16 07:03:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "Contributing to achievements of global elimination of #BlindingTrachoma. Donations of 800M+ doses of antibiotics in 40 countries have helped increase global antibiotic coverage to 44.8% in 2018 from 29.6% in 2015. #WeWontRest #GlobalHealthGoal <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2018-11-14 07:30:00, Pfizer_Ireland handle of company pfizer tweeted. The tweet was "By 2050, it is estimated that antimicrobial resistance (AMR) could take 10 million lives a year. Addressing the rise of #AMR requires all our combined efforts to protect our global health: let’s work together this World Antibiotic Awareness Week #WAAW2018 <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
