<|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 2018-10-03 18:00:14, UPMCPhysicianEd from company upmc tweeted. The tweet was "In this CME-accredited issue of Synergies, Drs. Antoine Douaihy, Julie Kmiec, and Jody Glance want to rethink addiction,by translating science into evidence-based practices. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-12-07 15:15:04, CharlesSchwab handle of company charles schwab tweeted. The tweet was "ICYMI: Avoiding Temptations: This week's episode of the #Choiceology #podcast talks about ways to avoid temptations and change your habits for good! <hyperlink> <hyperlink>". This tweet got 3 number of likes. 
2. On 2019-09-18 22:23:04, IndependentNGR handle of company independent tweeted. The tweet was "CP Urges FCT Students To Shun Cultism, Drug Abuse <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2018-01-30 05:23:01, cbcnewsbc handle of company cbc tweeted. The tweet was "The <mention> team up with B.C.'s Ministry of #MentalHealth and #Addictions to combat stigma of addictions <hyperlink> <hyperlink>". This tweet got 45 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
