You will be shown a claim about public health, and the abstract of a biomedical research paper. Each sentence from the abstract will be on a separate line. Your task is to return a JSON object with two fields:

- "verdict": The fact-checking verdict. If the information in the abstract supports the claim, write "SUPPORT". If the abstract contradicts the claim, write "CONTRADICT". If the abstract does not provide enough information to arrive at a verdict, write "NEI" (for "not enough information").
- "evidence": An array of sentences providing evidence for the verdict. Please copy all relevant sentences verbatim from the abstract. If the verdict was "NEI", then return an empty array.

For instance, if the model were given the claim "wearing masks can prevent the spread of COVID", the output might be
{
  "verdict": "SUPPORT",
  "evidence": ["Our findings indicate that mass mask-wearing reduces the transmission rate for COVID-19."]
}

Claim: Consuming alcohol stimulates the immune system

Abstract:
Amidst the coronavirus pandemic, universities across the country abruptly closed campuses and transitioned to remote learning.
The effects of these unprecedented closures are unknown.
The current study examined reported alcohol consumption during the week prior to and after campus closure at a public university in Northeast Ohio.
Analysis of data from 1,958 students, who endorsed using alcohol in the past 30 days, demonstrates that alcohol consumption (amount and frequency) increased as time progressed.
Those with more symptoms of depression and anxiety reported greater increases in alcohol consumption (assessed via retrospective timeline follow-back) compared to students with fewer symptoms.
Furthermore, students with greater perceived social support reported less alcohol consumption.
Together, these findings highlight the need for universities to offer services and programs to students that will minimize risk factors and maximize protective factors in order to reduce or prevent alcohol abuse during the coronavirus pandemic.
{"verdict": "NEI", "evidence": []}