<|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 2018-11-02 23:00:06, UPMCPhysicianEd from company upmc tweeted. The tweet was "Jason Chang, MD, gives a presentation on the goals of emergency care. Dr. Chang covers topics such as triage, early intervention, and transition of care. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-11-26 23:09:42, IndependentNGR handle of company independent tweeted. The tweet was "Conference On Trauma Care Charts Way For Improving Emergency Response Services <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
2. On 2020-05-16 22:05:01, CiscoCX handle of company cisco tweeted. The tweet was "How can you quickly expand your hospital’s response area to provide quick and efficient patient care? We can help. Learn more about our CX Offer for Temporary Field Hospital: <hyperlink> <hyperlink>". This tweet got 2 number of likes. 
3. On 2020-04-10 13:12:07, ITG_Ltd handle of company independent tweeted. The tweet was "We are proud to be working with the Intensive Care Society (<mention>) at this moment of national crisis. Watch, support and please stay home. #WeAreCritical #StayHomeSaveLives <hyperlink>". This tweet got 65 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
