TABLE 1.

Best fits for Q(m), found using the least-square fitting of log₁₀ P_lys^a

m	Q(m)
1	0.0038 ± 0.0012
2	0.6960 ± 0.0408
3	0.9886 ± 0.0769
4	0.9886 ± 0.0537
5	0.9886 ± 0.0487
6	0.9886 ± 0.0487
7	0.9886 ± 0.0487
8	0.9886 ± 0.0487
9	0.9886 ± 0.0487

^aThe Q(0) value of 0 and the Q(m≥10) value of 1 were kept fixed. There are no error bars for the data points in Kourilsky's paper, so we determined error bars (which indicate 95% intervals) for the Q(m) fit by redoing the fit 100 times, each time randomly perturbing the data points by up to ±10% (uniformly distributed).