### Apache Airflow version

2.7.0

### What happened

When running `BigQueryValueCheckOperator` in deferrable mode, the operator always reports a successful status even if the `pass_value` has not been met. 

### What you think should happen instead

If the value returned by the SQL given to the operator does not equal the `pass_value` then the operator should fail.  This occurs when `deferrable=False` but not when it is `True`.

### How to reproduce

The following DAG code should replicate the issue.  Both tasks provide some SQL that just returns `false` and with a `pass_value` of `True`.  The only difference is the fact that the first task is running in deferrable mode.

```
from datetime import datetime

from airflow import models
from airflow.providers.google.cloud.operators.bigquery import BigQueryValueCheckOperator

with models.DAG(
    dag_id='bq_value_check',
    start_date=datetime(2023, 8, 31),
    catchup=False,
    schedule='0 0 * * *',
) as dag:

    test1 = BigQueryValueCheckOperator(
        task_id=f'test1',
        sql=f'SELECT false;',
        pass_value=True,
        retries=0,
        deferrable=False,
    )

    test2 = BigQueryValueCheckOperator(
        task_id=f'test2',
        sql=f'SELECT false;',
        pass_value=True,
        retries=0,
        deferrable=True,
    )
```

<img width="275" alt="Screenshot 2023-09-01 at 14 42 28" src="https://github.com/apache/airflow/assets/967119/8ac7539e-dee0-45d6-b1da-b5a9f32986b4">


Some log extracts:
**test1**

```
[2023-09-01, 13:34:53 UTC] {bigquery.py:1596} INFO - Inserting job airflow_1693575293576477_43573f106bd19562ebd18f0679e80536
[2023-09-01, 13:34:54 UTC] {taskinstance.py:1824} ERROR - Task failed with exception
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/site-packages/airflow/providers/google/cloud/operators/bigquery.py", line 425, in execute
    super().execute(context=context)
  File "/usr/local/lib/python3.10/site-packages/airflow/providers/common/sql/operators/sql.py", line 857, in execute
    self._raise_exception(error_msg)
  File "/usr/local/lib/python3.10/site-packages/airflow/providers/common/sql/operators/sql.py", line 187, in _raise_exception
    raise AirflowException(exception_string)
airflow.exceptions.AirflowException: Test failed.
Pass value:True
Tolerance:None
Query:
SELECT false;
Results:
[False]
```

**test2**
```
[2023-09-01, 13:34:53 UTC] {bigquery.py:1596} INFO - Inserting job airflow_1693575293256612_92474edc414865ab2efb14bd8b18e24d
[2023-09-01, 13:34:53 UTC] {bigquery.py:446} INFO - Current state of job airflow_1693575293256612_92474edc414865ab2efb14bd8b18e24d is DONE
[2023-09-01, 13:34:53 UTC] {taskinstance.py:1345} INFO - Marking task as SUCCESS. dag_id=bq_value_check, task_id=test2, execution_date=20230831T000000, start_date=20230901T133452, end_date=20230901T133453
[2023-09-01, 13:34:53 UTC] {local_task_job_runner.py:225} INFO - Task exited with return code 0
```

### Operating System

n/a

### Versions of Apache Airflow Providers

apache-airflow-providers-google==10.7.0

### Deployment

Astronomer

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

"""
    Subclasses the SQLColumnCheckOperator in order to provide a job id for OpenLineage to parse.
    See base class docstring for usage.
    .. seealso::
        For more information on how to use this operator, take a look at the guide:
        :ref:`howto/operator:BigQueryColumnCheckOperator`
    :param table: the table name
    :param column_mapping: a dictionary relating columns to their checks
    :param partition_clause: a string SQL statement added to a WHERE clause
        to partition data
    :param gcp_conn_id: (Optional) The connection ID used to connect to Google Cloud.
    :param use_legacy_sql: Whether to use legacy SQL (true)
        or standard SQL (false).
    :param location: The geographic location of the job. See details at:
        https://cloud.google.com/bigquery/docs/locations#specifying_your_location
    :param impersonation_chain: Optional service account to impersonate using short-term
        credentials, or chained list of accounts required to get the access_token
        of the last account in the list, which will be impersonated in the request.
        If set as a string, the account must grant the originating account
        the Service Account Token Creator IAM role.
        If set as a sequence, the identities from the list must grant
        Service Account Token Creator IAM role to the directly preceding identity, with first
        account from the list granting this role to the originating account (templated).
    :param labels: a dictionary containing labels for the table, passed to BigQuery
    """
    template_fields: Sequence[str] = tuple(set(SQLColumnCheckOperator.template_fields) | {"gcp_conn_id"})
    conn_id_field = "gcp_conn_id"
    def __init__(