`pyarrow.lib.ArrowNotImplementedError: Function 'and_kleene' has no kernel matching input types (bool, double)`

### Describe the bug, including details regarding any error messages, version, and platform.

Upon trying to reproduce a different error that occurs when using filters (predicates) which select none of the data, I came across this error:

```python
import numpy as np
import polars as pl
import pyarrow.dataset as ds
from pyarrow.parquet import ParquetDataset

n = 1_000_000
rng = np.random.default_rng(seed=42)

data = pl.DataFrame(
{
"a": rng.uniform(low=0, high=2, size=n),
"b": rng.choice(["a", "b"], n),
"c": rng.normal(size=n),
}
)

data.write_parquet("data.parquet", row_group_size=500_000)

df = pl.from_arrow(
ParquetDataset(
["data.parquet"],
filters=~ds.field("c").is_null() & ds.field("a") >= 3,
).read(columns=["b"])
)
print(df)
```
This yields
```
Traceback (most recent call last):
File "test_arrow.py", line 24, in
).read(columns=["b"])
^^^^^^^^^^^^^^^^^^^
File "/cluster/home/lmalte/nobackup/micromamba/envs/psutil/lib/python3.11/site-packages/pyarrow/parquet/core.py", line 1485, in read
table = self._dataset.to_table(
^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/_dataset.pyx", line 553, in pyarrow._dataset.Dataset.to_table
File "pyarrow/_dataset.pyx", line 399, in pyarrow._dataset.Dataset.scanner
File "pyarrow/_dataset.pyx", line 3557, in pyarrow._dataset.Scanner.from_dataset
File "pyarrow/_dataset.pyx", line 3475, in pyarrow._dataset.Scanner._make_scan_options
File "pyarrow/_dataset.pyx", line 3409, in pyarrow._dataset._populate_builder
File "pyarrow/_compute.pyx", line 2724, in pyarrow._compute._bind
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Function 'and_kleene' has no kernel matching input types (bool, double)
```
This is using
```
polars 1.14.0 py311hcc3b33b_1 conda-forge
pyarrow 18.1.0 py311h38be061_0 conda-forge
pyarrow-core 18.1.0 py311h4854187_0_cpu conda-forge
```

### Component(s)

Python