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: A pre-ct and clinical chemistry based flowchart for rapid covid-19 triage at emergency departments

Abstract:
Background Due to the large number of patients with coronavirus disease 19 (COVID-19), rapid diagnosis at the emergency department (ED) is of critical importance.
In this study we have developed a flowchart based on two well-known diagnostic methods: the 'corona-score' and the 'CO-RADS'.
This flowchart can be used in hospitals that use chest-CT, instead of chest X-ray, for COVID-19 suspected patients at the ED.
Methods ED patients (n=1904) from the Jeroen Bosch Hospital, Amphia Hospital, HagaHospital, Elisabeth TweeSteden Hospital, Bernhoven Hospital and Slingeland Hospital were included.
A laboratory-based 'corona-score', without radiology, called the 'lab-corona-score' was combined with a chest-CT based radiology scoring system (CO-RADS), to develop a flowchart.
The performance was assessed by sensitivity/specificity analyses using the RT-PCR outcome or the physician's final diagnosis as golden standard.
Results Out of the 1904 patients, 611 (32.1%) patients tested positive for the SARS-CoV-2 virus.
The lab-corona-score alone had an AUC of 0.86, a sensitivity of 87% and a specificity of 88% using cut-off values of 0-2 (negative) and 8-10 (positive).
Of 255 patients, from the Amphia and Slingeland Hospitals, a CO-RADS score was determined.
The flowchart, which combined the 'CO-RADS' with the 'lab-corona-score', was developed based on data from Slingeland Hospital (sensitivity 97%, specificity 96%).
Hereafter, the performance of the flowchart was validated using an independent dataset from Amphia hospital, and reached a sensitivity of 98% and specificity of 93%.
A decision could be made in 79% of the patients, which was correct in 95% of the cases.
Conclusion This flowchart, based on radiology (CO-RADS) and clinical chemistry parameters (lab-corona-score), results in a rapid and accurate diagnosis of COVID-19 at the ED.
{"verdict": "CONTRADICT", "evidence": ["This flowchart can be used in hospitals that use chest-CT, instead of chest X-ray, for COVID-19 suspected patients at the ED.", "Conclusion This flowchart, based on radiology (CO-RADS) and clinical chemistry parameters (lab-corona-score), results in a rapid and accurate diagnosis of COVID-19 at the ED."]}