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: Operating results have fluctuated from quarter to quarter in the past, and the Company expects that they will continue to do so in the future. Factors that could cause these quarterly fluctuations include the following: international, national and local general economic and market conditions; the size and growth of the overall sporting goods markets; intense competition among manufacturers, marketers, distributors and sellers of products; demographic changes; changes in consumer preferences; popularity of particular designs, categories of products and sports; seasonal demand for products; adverse weather conditions that may create fluctuations in demand for certain of our products; the size, timing and mix of purchases of products; fluctuations and difficulty in forecasting operating results; ability to sustain, manage or forecast growth and inventories; new product development and introduction; ability to secure and protect trademarks, patents and other intellectual property; performance and reliability of products; customer service; the loss of significant customers or suppliers; dependence on distributors; business disruptions; disruptions or delays in our supply chain, including potential disruptions or delays arising from political unrest, war, labor strikes, natural disasters, and public heath crises such as the coronavirus pandemic; increased costs of freight and transportation to meet delivery deadlines; changes in business strategy or development plans; general risks associated with doing business outside the United States, including, without limitation: exchange rates, import duties, tariffs, quotas and political and economic instability; changes in government regulations; any liability and other claims asserted against the Company; ability to attract and retain qualified personnel; and other factors referenced or incorporated by reference in this Form 10-K and any other filings with the Securities and Exchange Commission.
Assistant: