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: Children are not COVID-19 super spreaders

Abstract:
BACKGROUND: Novel coronavirus disease (COVID-19) is spreading globally.
Little is known about the risk factors for the clinical outcomes of COVID-19 in children.
METHODS: A retrospective case-control study was taken in children with severe acute respiratory syndrome coronary virus-2 infection in Wuhan Children's Hospital.
Risk factors associated with the development of COVID-19 and progression were collected and analyzed.
RESULTS: Eight of 260 children diagnosed with severe COVID-19 pneumonia were included in the study.
Thirty-five children with COVID-19 infection matched for age, sex and date of admission, and who classified as non-severe type, were randomly selected from the hospital admissions.
For cases with severe pneumonia caused by COVID-19, the most common symptoms were dyspnea (87.5%), fever (62.5%) and cough (62.5%).
In laboratory, white blood cells count was significantly higher in severe children than non-severe children.
Levels of inflammation bio-makers such as hsCRP, IL-6, IL-10 and D-dimer elevated in severe children compared with non-severe children on admission.
The level of total bilirubin and uric acid clearly elevated in severe children compared with non-severe children on admission.
All of severe children displayed the lesions on chest CT, more lung segments were involved in severe children than in non-severe children, which was only risk factor associated with severe COVID-19 pneumonia in multivariable analysis.
CONCLUSIONS: More than 3 lung segments involved were associated with greater risk of development of severe COVID-19 in children.
Moreover, the possible risk of the elevation of IL-6, high total bilirubin and D-dimer with univariable analysis could identify patients to be severe earlier.
{"verdict": "NEI", "evidence": []}