matplotlib styles mess with placement

[skwde]

I also asked this on stackoverflow (https://stackoverflow.com/questions/79303139/maptloblib-adjust-text-and-errorbar).
Due to a comment I tried again and found that there is a problem occuring only when matplotlib styles are used.

See following example:

import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
import scienceplots  # type: ignore
from adjustText import adjust_text

plt.style.use(["science", "notebook"])

fig, ax = plt.subplots()

x = np.linspace(0, 1, 50) * np.pi
y = np.sin(x)

errbar_container = ax.errorbar(x, y, xerr=0.25, yerr=0.05)

texts = []
for idx in range(0, len(x),2):
    texts.append(
        ax.annotate(
            idx,
            xy=(x[idx], y[idx]),
            size="large",
            zorder=100,
        )
    )

adjust_text(
    texts,
    x=x,
    y=y,
    expand=(2, 2),
    objects=[
        *[mpl.transforms.Bbox(seg) for seg in errbar_container.lines[-1][0].get_segments()],
        *[mpl.transforms.Bbox(seg) for seg in errbar_container.lines[-1][1].get_segments()],
    ],
    arrowprops=dict(arrowstyle="->", color="red"),
)

plt.show()

which produces following plot:

Note how 0, 2 and 4 plotted on the line.

Moreover it seems that option like autoalign, only_move are ignored.

Without plt.style.use(["science", "notebook"]) everything looks fine.

So what am I missing here?