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 face an inherent risk of product liability claims, especially with respect to our products that will be used within the human body, including the scaffolds we manufacture. Product liability coverage is expensive and sometimes difficult to obtain, if it can be obtained at all. We may not be able to obtain or maintain insurance at a reasonable cost. We have and in the future may be subject to claims for liabilities for unsuccessful outcomes of surgeries involving our products, which may include claims relating to patient suffering and death. We may also be subject to claims for liabilities relating to patients that suffer serious complications or death during or following implantations involving our products, including the patients who had surgeries utilizing our first-generation scaffold device or our bioreactor technology or our esophageal implant, or patients that may have surgeries utilizing any of our products in the future. On April 27, 2022, we and Harvard Bioscience executed a settlement, relating to an ongoing wrongful death lawsuit, which resolved all claims relating to the litigation. The settlement resulted in the dismissal with prejudice of the wrongful death claim, and neither we nor Harvard Bioscience admitted any fault or liability in connection with the claim. The settlement also resolved any and all claims by and between the parties and our products liability insurance carriers, which resulted in the dismissal with prejudice of all claims asserted by or against those carriers, us and Harvard Bioscience. Our current product liability coverage is $10 million per occurrence and in the aggregate. We will need to increase our insurance coverage if and when we begin commercializing any of our products. There can be no assurance that existing insurance coverage will extend to other products in the future. Any product liability insurance coverage may not be sufficient to satisfy all liabilities resulting from product liability claims. Furthermore, insurance carriers may deny that coverage exists after a claim is made. A successful claim may prevent us from obtaining adequate product liability insurance in the future on commercially desirable items, if at all. If claims against us substantially exceed our coverage, then our business could be adversely impacted. Regardless of whether we are ultimately successful in any product liability litigation, such litigation could consume substantial amounts of our financial and managerial resources and could result in, among others:
Assistant: