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: all workers wear face coverings to prevent the spread of their respiratory droplets. This is because people can spread SARS-CoV-2, the virus that causes COVID-19, by coughing, sneezing, or talking-even if they do not feel sick.

Abstract:
Face masks are an avenue to curb the spread of coronavirus, but few people in Western societies wear face masks.
Social scientists have rarely studied face mask wearing, leaving little guidance for methods to encourage these behaviours.
In the current article, we provide an approach to address this issue by developing the 32-item and 8-dimension Face Mask Perceptions Scale (FMPS).
We begin by developing an over-representative item list in a qualitative study, wherein participants' responses are used to develop items to ensure content relevance.
This item list is then reduced via exploratory factor analysis in a second study, and the eight dimensions of the scale are supported.
We also support the validity of the FMPS, as the scale significantly relates to both face mask wearing and health perceptions.
We lastly confirm the factor structure of the FMPS in a third study via confirmatory factor analysis.
From these efforts, we identify an avenue that social scientists can aid in preventing coronavirus and illness more broadly - by studying face mask perceptions and behaviours.
{"verdict": "SUPPORT", "evidence": ["Face masks are an avenue to curb the spread of coronavirus, but few people in Western societies wear face masks."]}