How scores are calculated within the step_select_linear function in the colino package?

Package development
1

I thought that the scores of the variables returned by step_select_linear with a binary outcome were the coefficients of the logistic regression model, but that is not the case.

library(recipes)
library(parsnip)
library(colino)

# load the example iris dataset
data(cells, package = "modeldata")

# create a preprocessing recipe
rec <-
 recipe(class ~ ., data = cells[, -1]) %>%
 step_select_linear(
   all_predictors(),
   outcome = "class",
   threshold = 0.9
 )

prepped <- prep(rec, new_data = cells[, -1])
prepped
step_1 <- prepped$steps[[1]]
step_1$scores %>% arrange(desc(score))
glm(class ~ inten_cooc_max_ch_3, data=cells, family=binomial )