System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User: We have a significant amount of goodwill recorded on our consolidated balance sheet as of December 31, 2022. We are required at least annually to test the recoverability of goodwill or more frequently when events and circumstances indicate that it is more likely than not that the fair value of a reporting unit is less than its carrying value. The recoverability test of goodwill is based on the current fair value of our identified reporting units. Fair value measurement requires assumptions and estimates of many critical factors, including revenue and market growth, operating cash flows and discount rates. During the second and fourth quarter of 2022, the Company performed interim and annual quantitative goodwill impairment tests and determined that the estimated fair value of the Mission Solutions reporting unit was lower than its carrying value and as a result reduced the balance of goodwill on the Mission Solutions reporting unit to zero and recognized a full impairment on certain tangible and intangible assets within the reporting unit. Please refer to Note T of the accompanying notes to the consolidated financial statements for additional information. If general market conditions continue to deteriorate in other portions of our business, we could experience a significant decline in the fair value of our other reporting units. This decline could lead to an impairment of all or a significant portion of the goodwill balance, which could materially affect our U.S. GAAP net earnings and net assets.
Assistant: