Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.

Example Input: Question: Do traditional clinical risk assessment tools accurately predict coronary atherosclerotic plaque burden : a CT angiography study?
Answer: Coronary risk stratification using a risk factor only-based scheme is a weak discriminator of the overall atherosclerotic plaque burden in individual patients. Patients with little or no plaque might be subjected to lifelong drug therapy, whereas many others with substantial plaque might be undertreated or not treated at all.
Example Output: no

Example Input: Question: Is cytosine deamination a major cause of baseline noise in next-generation sequencing?
Answer: Baseline noise during NGS is mostly due to cytosine deamination, the source of which is likely to be both biologic and an artifact of thermocycling, and it can be reduced by UNG pretreatment.
Example Output: yes

Example Input: Question: Are anticytomegalovirus antibody titres associated with caregiving burden in younger caregivers?
Answer: These data suggest that in the absence of immunosenescence, the chronic stress of caregiving is not sufficient to compromise the immune response to persistent CMV infection. However, an indirect mechanism to poorer health in caregivers might be via adoption of disadvantageous health behaviours in response to stress. Statement of contribution What is already known on this subject? Older caregivers of spouses with dementia show a poorer immune response against latent viruses when compared to age- and sex-matched controls. Younger parental caregivers of children with developmental disabilities show a poorer antibody response to vaccination. What does this study add? The study showed no association between caregiving stress and CMV antibody titre in young caregivers. There were higher CMV antibody titres in the caregivers who engage in unhealthy behaviours.
Example Output:
no