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: Enhanced sars-cov-2 neutralization by secretory iga in vitro

Abstract:
SARS-CoV-2 primarily infects cells at mucosal surfaces.
Serum neutralizing antibody responses are variable and generally low in individuals that suffer mild forms of the illness.
Although potent IgG antibodies can neutralize the virus, less is known about secretory antibodies such as IgA that might impact the initial viral spread and transmissibility from the mucosa.
Here we characterize the IgA response to SARS-CoV-2 in a cohort of 149 individuals.
IgA responses in plasma generally correlate with IgG responses and clones of IgM, IgG and IgA producing B cells that are derived from common progenitors are evident.
Plasma IgA monomers are 2-fold less potent than IgG equivalents.
However, IgA dimers, the primary form in the nasopharynx, are on average 15 times more potent than IgA monomers.
Thus, secretory IgA responses may be particularly valuable for protection against SARS-CoV-2 and for vaccine efficacy.
{"verdict": "SUPPORT", "evidence": ["Thus, secretory IgA responses may be particularly valuable for protection against SARS-CoV-2 and for vaccine efficacy."]}