Forest plot: Visualization original confidence interval of individual studies but weighting in pooling estimate

Question

I want to visualize original confidence interval of individual studies in forest plot; however, weighting will be used to create pooled estimate.

I used weighted=FALSE. My code

res <- rma(lnhr, sei=se, data=dffc, method="REML", test="knha", weighted = FALSE)
res

par(mar = c(6, 6, 3, 3))
forest(res, addpred = FALSE, annotate= TRUE, at=seq(0,8,by=1),  
       order= dffc$exo,
       showweights=TRUE,
       ilab=cbind(expo, com), ilab.xpos=c(-3, -1.5), mlab = "", xlab= " ",
       cex=1.1, xlim=c(8, 4), alim = c(-6, 6),  
       transf=transf.exp.int,
       refline=1,
       slab=paste(dffc$author)
)

My plot enter image description here

So, it is **unweighted pooled estimate; visualization of confindence interval of individual studies shows weighted confidence interval. **

However, I want opposite. Weighted pooled estimate and unweighted confidence interval of individual studies.