psacalc strange result Oster (2019)

[Yixuan Wang]

I tried to apply Oster's (2019) sensitivity test in my paper using the Stata command psacalc. In her paper (p.194) she mentioned that

With an added assumption we can typically eliminate at least one solution and, in the case where δ = 1, always produce a single solution.

But psacalc gave two different solutions. What is happening? If this is normal, how to choose the solution and what do they mean? Can I use the method she derived in section 3.2 of her paper to perform this analysis?
My code looks like

quietly: reg wordtest pm25_mean $controls $fe2, vce(cluster fid10)
dis 1.3*e(r2)
psacalc beta pm25_mean, rmax(.47357464)

And the result looks like

If I have 3 variables of interest (e.g., pm25_mean_t1, pm25_mean_t2, pm25_mean_t3), can I include them in one regression and perform this analysis simultaneously? Like:

quietly: reg wordtest pm25_t1 pm25_t2 pm25_t3 $fullcontrols $fe2, ///
vce(cluster fid10)
dis 1.3*e(r2)
psacalc beta pm25_t1, rmax(.50555729)
psacalc beta pm25_t2, rmax(.50555729)
psacalc beta pm25_t3, rmax(.50555729)