You will be shown a claim related to the COVID-19 pandemic, 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".
- "evidence": An array of sentences providing evidence for the verdict. Please copy all relevant sentences verbatim from the abstract.

For instance, if the model were given the claim "the COVID vaccine is safe for healthy adults", the output might be
{
  "verdict": "SUPPORT",
  "evidence": ["Our findings indicate that the risks of severe COVID vaccine side effects are low for healthy adults."]
}

Claim: Belief in covid-19 conspiracy theories are social distancing over time

Abstract:
BACKGROUND Conspiracy theories about the origins of COVID-19 are widespread and have even been propagated by highly ranked state officials and politicians in the US.
Health authorities have cautioned that such theories, although not questioning the existence of the pandemic, may increase the spread of the virus by reducing people's efforts to socially distance.
METHODS We test this proposition empirically using longitudinal survey data collected at five timepoints during the early outbreak of the virus in the US (N = 403).
RESULTS Multivariate growth curve analyses showed that, although conspiracy beliefs decreased and social distancing increased over time, people holding more conspiracy beliefs at the beginning of the pandemic showed the lowest increase in social distancing.
Moreover, cross-lagged analyses demonstrated that people who reported more conspiracy beliefs at any wave tended to report less social distancing at the following wave.
CONCLUSIONS Our findings show that COVID-19 conspiracy theories pose a significant threat to public health as they may reduce adherence to social distancing measures.
{"verdict": "CONTRADICT", "evidence": ["Moreover, cross-lagged analyses demonstrated that people who reported more conspiracy beliefs at any wave tended to report less social distancing at the following wave."]}