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: ARDS (acute respiratory distress syndrome) is a Common Cause of Death in Critically Ill Coronavirus Patients

Abstract:
The mortality rate of coronavirus disease-19 (COVID-19) has been reported as 1-6% in most studies.
The cause of most deaths has been acute pneumonia.
Nevertheless, it has been noted that cardiovascular failure can also lead to death.
Three COVID-19 patients were diagnosed based on reverse transcriptase-polymerase chain reaction of a nasopharyngeal swab test and radiological examinations in our hospital.
The patients received medications at the discretion of the treating physician.
In this case series, chest computed tomography scans and electrocardiograms, along with other diagnostic tests were used to evaluate these individuals.
Sudden cardiac death in COVID-19 patients is not common, but it is a major concern.
So, it is recommended to monitor cardiac condition in selected patients with COVID-19.
{"verdict": "SUPPORT", "evidence": ["The cause of most deaths has been acute pneumonia."]}