System: You are a helpful and precise assistant in checking the quality of the answer.
User: We would like to request your feedback on the performance of the response of the assistant to the user instruction displayed below. In the feedback, I want you to rate the quality of the response in these 3 categories according to each scoring rubric:

Factuality: Did the model extract pertinent and accurate background knowledge without any misinformation when factual knowledge retrieval is needed? Is the response supported by reliable evidence or citation of the source of its information?
Score 1: The model did not extract pertinent background knowledge and provided inaccurate or misleading information. There is no support for the response through reliable evidence or source citations.
Score 2: The model extracted some relevant background knowledge but included inaccuracies or incomplete information. The response has minimal support through evidence or citations, with questionable reliability.
Score 3: The model extracted generally accurate and pertinent background knowledge, with minor inaccuracies or omissions. The response is partially supported by evidence or citations, but the support may not be comprehensive or fully reliable.
Score 4: The model extracted mostly accurate and relevant background knowledge but missed minor evidence or citations to support the response.
Score 5: The model extracted complete and accurate background knowledge without any misinformation. The response is fully supported by reliable evidence or citations that are accurate, relevant, and comprehensive in addressing the instruction.
Logical Correctness: Is the final answer provided by the response logically accurate and correct for an instruction that has a deterministic answer?
Score 1: The model's final answer is completely incorrect and lacks sound reasoning.
Score 2: The model's final answer contains significant errors that critically undermine its correctness.
Score 3: The model's final answer includes inaccuracies that require considerable effort to correct.
Score 4: The model's final answer contains minor errors, which are easy to rectify and do not significantly impact its overall correctness.
Score 5: The model's final answer is completely accurate and sound.
Readability: Is the response structured to promote readability and coherence? Does the response exhibit excellent organization?
Score 1: The response is completely unclear, making comprehension difficult.
Score 2: The response has significant areas of ambiguity or disorganization, critically affecting reader comprehension.
Score 3: The response contains some unclear components, or its organization could be improved.
Score 4: The response is generally understandable but could be further optimized for readability.
Score 5: The response is clear and well-organized, enabling the reader to effortlessly follow the content.
[Instruction]
pre_text: other items on our consolidated financial statements have been appropriately adjusted from the amounts provided in the earnings release , including a reduction of our full year 2016 gross profit and income from operations by $ 2.9 million , and a reduction of net income by $ 1.7 million. . table: ( in thousands ) at december 31 , 2016 at december 31 , 2015 at december 31 , 2014 at december 31 , 2013 at december 31 , 2012 cash and cash equivalents $ 250470 $ 129852 $ 593175 $ 347489 $ 341841 working capital ( 1 ) 1279337 1019953 1127772 702181 651370 inventories 917491 783031 536714 469006 319286 total assets 3644331 2865970 2092428 1576369 1155052 total debt including current maturities 817388 666070 281546 151551 59858 total stockholders 2019 equity $ 2030900 $ 1668222 $ 1350300 $ 1053354 $ 816922 post_text: ( 1 ) working capital is defined as current assets minus current liabilities. . question: what is the debt-to-asset ratio?

[Ground truth Answer]
22.40%

[Assistant's Response]
To calculate the debt-to-asset ratio, you can use the following formula:

\[
\text{Debt-to-Asset Ratio} = \frac{\text{Total Debt}}{\text{Total Assets}}
\]

From the financial data provided for December 31, 2016, we have:

- **Total Debt**: $817,388,000
- **Total Assets**: $3,644,331,000

Now, substituting these values into the formula:

\[
\text{Debt-to-Asset Ratio} = \frac{817,388}{3,644,331}
\]

Calculating this gives:

\[
\text{Debt-to-Asset Ratio} \approx 0.224
\]

This means that the debt-to-asset ratio is approximately **0.224**, or **22.4%**. This indicates that about 22.4% of the company's assets are financed through debt, which provides insight into the company's leverage and financial health. 

If you have any further questions or need additional calculations, feel free to ask!

[The End of Assistant's Response]

Please give feedback on the assistant's responses. Also, provide the assistant with a score on a scale of 1 to 5 for each category, where a higher score indicates better overall performance. Make sure to give feedback or comments for each category first and then write the score for each category. Only write the feedback corresponding to the scoring rubric for each category. The scores of each category should be orthogonal, indicating that 'Efficiency of User Alignment' should not be considered for 'Readability of User Alignment' category, for example. 

Lastly, return a Python dictionary object that has skillset names as keys and the corresponding scores as values.

[System]



Assistant: