code: def scores(self) -> List[float]:
      if not self.prediction:
          return []
      return (
          [label.score for label in self.prediction.labels]
          if self.multi_label
          else [
              prediction_class.score
              for prediction_class in [
                  self._max_class_prediction(
                      self.prediction, multi_label=self.multi_label
                  )
              ]
              if prediction_class
          ]
      )
  
imports: from datetime import datetime
  from typing import Any, ClassVar, Dict, List, Optional, Union
  from argilla.server.commons.models import PredictionStatus, TaskStatus, TaskType
  from argilla.server.constants import DEFAULT_MAX_KEYWORD_LENGTH
  from argilla.server.helpers import flatten_dict
  from argilla.server.pydantic_v1 import BaseModel, Field, root_validator, validator
  from argilla.server.services.datasets import ServiceBaseDataset
  from argilla.server.services.search.model import ServiceBaseRecordsQuery, ServiceScoreRange
  from argilla.server.services.tasks.commons import ServiceBaseAnnotation, ServiceBaseRecord
label_desc: Use image node_id 8 for calling the ServiceTextClassificationRecord obj's underlying member method code with example usage: obj.scores() and returns: unknown, list