{
  "checks": {
    "execution": true,
    "expected_entity": true,
    "implementation_script": true,
    "positive_results": true,
    "search_output": true
  },
  "evaluation_revision": 2,
  "output": "Using embedding model (dimension 768)\nInserted 3 entities\nFIRST_SEARCH_RESULTS: data: [[{'id': 2, 'distance': 0.5859946012496948, 'entity': {'id': 2, 'text': 'Born in Maida Vale, London, Turing was raised in southern England.', 'subject': 'history'}}, {'id': 1, 'distance': 0.5118256211280823, 'entity': {'id': 1, 'text': 'Alan Turing was the first person to conduct substantial research in AI.', 'subject': 'history'}}]]\nFILTERED_RESULTS: data: [[{'id': 4, 'distance': 0.2703056335449219, 'entity': {'id': 4, 'text': 'Computational synthesis with AI algorithms predicts molecular properties.', 'subject': 'biology'}}, {'id': 3, 'distance': 0.16425907611846924, 'entity': {'id': 3, 'text': 'Machine learning has been used for drug design.', 'subject': 'biology'}}]]\nHISTORY_COUNT: 3\nIDS: [0, 2]\nQuickstart completed successfully\nNone of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.\n",
  "passed": true,
  "superseded_checks": {
    "execution": true,
    "expected_entity": true,
    "implementation_script": true,
    "positive_results": false,
    "search_output": false
  }
}