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: Future legislation or increased regulation regarding climate change and GHG emissions could impose significant costs on our business and our customers and suppliers, including increased energy, capital equipment, emissions controls, environmental monitoring and reporting, and other costs in order to comply with laws and regulations concerning and limitations imposed on climate change and GHG emissions. The potential costs of allowances, taxes, fees, offsets, or credits that may be part of “cap and trade” programs or similar future legislative or regulatory measures are still uncertain and the future of these programs or measures is unknown. For example, in March 2020, the Governor of Oregon issued an executive order directing state agencies to take certain actions to reduce and regulate GHG emissions. Pursuant to this executive order, ODEQ issued a notice of proposed rulemaking in August 2021 that would establish a new Climate Protection Program to limit GHG emissions in the state including from large stationary sources such as our steel mill. In addition, the ODEQ Cleaner Air Oregon (“CAO”) program regulates toxic air emissions from manufacturing facilities located in Oregon. The ODEQ has published a prioritization list of the facilities within the state subject to the CAO program based on emissions inventories that facilities submitted to the ODEQ. The prioritization list established four tiers of risk groups. Our steel mill has been assigned to the first-tier risk group and was selected into the CAO program in 2020. To comply with the CAO program rules, including as they may be revised in the future, facilities may incur expenses to evaluate the risk to the public and may be required to incur additional operating or capital expenditures to mitigate any significant identified risks. Future climate change and GHG laws or regulations could negatively impact our ability (and that of our customers and suppliers) to compete with companies situated in areas not subject to such requirements. Until the timing, scope, and extent of any future laws or regulations becomes known, we cannot predict the effect on our financial condition, operating performance, or ability to compete. Furthermore, even without such laws or regulations, increased awareness and any adverse publicity in the global marketplace about the GHGs emitted by companies in the metals recycling and steel manufacturing industries could harm our reputation and reduce customer demand for our products.
Assistant: