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: around 40% of people who contract SARS-CoV-2 most likely remain symptom-free.

Abstract:
Abstract Asymptomatic but infectious people have been reported in many infectious diseases.
Asymptomatic and pre-symptomatic carriers would be a hidden reservoir of COVID-19.
Aim This review identifies primary empirical evidence about the ability of asymptomatic carriers to infect others with COVID-19 pandemic and reflects on the implications for control measures.
Methods A systematic review is followed by a narrative report and commentary inclusion criteria were: studies reporting primary data on asymptomatic or pre-symptomatic patients, who were considered to have passed on COVID-19 infection; and published in indexed journals or in peer review between January 1 and March 31, 2020.
Results Nine articles reported on 83 asymptomatic or pre-symptomatic persons.
Conclusions The evidence confirms COVID-19 transmission from people who were asymptomatic at the time.
A series of implications for health service response are laid out.
Keywords: Covid-19, Asymptomatic, Pre-symptomatic, Public Health
{"verdict": "NEI", "evidence": []}