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:

Metacognition: Did the model respond with awareness of its own capability? Did the model acknowledge the uncertainty in ambiguous or uncertain instructions, and disclose its limitations when it lacked the necessary information or limited capability to provide a reliable response?
Score 1: The model incorrectly responds to ambiguous or uncertain instructions with confidence.
Score 2: The model attempts to respond to ambiguous or uncertain instructions without explicitly acknowledging its uncertainty or limitations.
Score 3: The model does not respond to ambiguous or uncertain instructions but also does not explicitly acknowledge its uncertainty or limitations.
Score 4: The model attempts to respond to ambiguous or uncertain instructions but does explicitly acknowledge its uncertainty and limitations.
Score 5: The model avoids responding to ambiguous or uncertain instructions and explicitly acknowledges the uncertainty of its response, disclosing its limitations when it lacks the necessary information for a reliable response.
Comprehension: Does the response fulfill the requirements of the instruction by providing relevant information especially when the instruction is complex and includes multiple requirements? This includes responding in accordance with the explicit and implicit purpose of given instruction.
Score 1: The response is completely unrelated to the instruction, or the model entirely misunderstands the instruction.
Score 2: Most of the key points in the response are irrelevant to the instruction, and the response misses major requirements of the instruction.
Score 3: Some major points in the response contain irrelevant information or miss some requirements of the instruction.
Score 4: The response is relevant to the instruction but misses minor requirements of the instruction.
Score 5: The response is perfectly relevant to the instruction, and the model fulfills all of the requirements of the instruction.
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.
[Instruction]
List the personality traits that are required to be successful in the given job.
Input: Social Media Marketer

[Ground truth Answer]
- Engaging with people
- Thinking creatively
- Following trends

[Assistant's Response]
To be successful as a Social Media Marketer, several key personality traits can greatly enhance effectiveness in the role. Here’s a comprehensive list of these traits:

1. **Creativity**: The ability to think outside the box and produce engaging, original content is essential. Creativity helps in crafting posts, visuals, and campaigns that stand out and capture the audience's attention.

2. **Adaptability**: Social media landscapes are constantly changing, with new trends and platforms emerging regularly. Being adaptable allows marketers to pivot strategies quickly and remain relevant in a fast-paced environment.

3. **Analytical Skills**: Proficiency in understanding and interpreting social media metrics is crucial. This enables marketers to measure campaign success, derive insights, and make data-driven decisions.

4. **Communication Skills**: Strong written and verbal communication skills are necessary for effectively conveying messages and engaging with the audience. This includes the ability to tailor messages for different platforms and demographics.

5. **Attention to Detail**: A keen eye for detail ensures that all content is accurate, free from errors, and consistent with the brand's voice and overall strategy.

6. **Empathy**: Understanding the audience's needs, preferences, and emotions is vital for creating content that resonates and fosters a genuine connection.

7. **Curiosity**: A strong desire to learn about new tools, trends, and techniques in social media marketing can lead to innovative strategies and improved campaign effectiveness.

8. **Time Management**: The ability to efficiently manage multiple campaigns and tasks is crucial in a role that often involves juggling various responsibilities simultaneously.

9. **Problem-Solving Skills**: Being resourceful and able to address challenges quickly is important for maintaining a positive brand presence online.

10. **Team Player**: Collaboration with other departments and team members is often necessary to align social media efforts with broader marketing goals, making teamwork an important trait.

These personality traits, when combined with relevant technical skills and industry knowledge, can significantly contribute to success in social media marketing.

[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: