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: Can coronavirus be transmitted over surfaces? Yes. 

Abstract:
COVID-19 is an infectious disease characterized by several important systemic problems such as severe pneumonia.
One of mechanisms responsible of these systemic problems is the release of pro-inflammatory cytokines, such as interleukin (IL)-1beta and IL-6(Conti et al., 2020).
The binding of virus to TRL (Toll Like Receptor) can determine the release of pro-IL-1beta with successive activation and production of active mature IL-1beta, responsible of lung inflammation, fever and fibrosis(Conti et al., 2020).
The interstitial pneumonia is linked to an over-production of IL-6.
Based on this principle, several researchers started the use of an anti-arthritis drug, tocilizumab, for its anti-IL-6 action.
{"verdict": "NEI", "evidence": []}