Nonparametric bootstrap to construct confidence intervals for Cohen's Kappa Coefficient

I was recently asked to perform nonparametric bootstrap to construct 95% confidence intervals for $$\kappa$$ using normal approximation, but I'm not sure how to do this. The only data I was given was the table below:
| Clinical trial | |---------------|----------|----------| | Meta analysis | Positive | Negative | | Positive | 13 | 6 | | Negative | 7 | 14 | I believe the $$\kappa$$ that they are referring to in this case is the Cohen's Kappa Coefficient. Can someone please shed some light on this for me?

• I guess the first step is to figure out how to determine the point estimate for kappa for the sample data... – Sal Mangiafico Dec 4 '19 at 22:42