When using stats::t.test, the report() and report_table() function output displays "95 % CI" even if, say, conf.level = 0.975 about report HOT 1 OPEN

t.test(1:10, y = c(7:20, 200)) |> report::report()
#> Effect sizes were labelled following Cohen's (1988) recommendations.
#> 
#> The Welch Two Sample t-test testing the difference between 1:10 and c(7:20,
#> 200) (mean of x = 5.50, mean of y = 25.93) suggests that the effect is
#> negative, statistically not significant, and medium (difference = -20.43, 95%
#> CI [-47.24, 6.38], t(14.16) = -1.63, p = 0.125; Cohen's d = -0.60, 95% CI
#> [-1.34, 0.16])

t.test(1:10, y = c(7:20, 200), conf.level = 0.7) |> report::report()
#> Effect sizes were labelled following Cohen's (1988) recommendations.
#> 
#> The Welch Two Sample t-test testing the difference between 1:10 and c(7:20,
#> 200) (mean of x = 5.50, mean of y = 25.93) suggests that the effect is
#> negative, statistically not significant, and medium (difference = -20.43, 70%
#> CI [-33.90, -6.97], t(14.16) = -1.63, p = 0.125; Cohen's d = -0.60, 70% CI
#> [-0.98, -0.19])