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.
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.
Completeness: Does the response provide a sufficient explanation? Comprehensiveness and thoroughness of the response should be considered, which depends on the breadth of topics covered and the level of detail provided within each topic.
Score 1: The response doesn't include any specifics or examples to support the statements made.
Score 2: The response does not provide sufficient details or supportive examples, requiring a major effort to make the response more complete.
Score 3: It is a decent response, but the breadth and depth of the response are rather limited. The details and examples used to substantiate the response may be insufficient.
Score 4: The response provides detailed explanations, but there is room for enhancement. The response could be further improved by including more details and supportive examples.
Score 5: The response fully provides comprehensive explanations. It delves deep into the topic, providing as much detail as possible, and it offers several examples to back up its points.
[Instruction]
Decide if the provided evidence supports or refutes the given claim, or if there is not enough information to make a conclusion.\n Claim: Chris Bosh knows how to code. \n Evidence: Christopher Wesson Bosh (born March 24, 1984) is an American former professional basketball player. A Texas Mr. Basketball in high school, he played one season of college basketball for Georgia Tech before declaring for the 2003 NBA draft. Bosh was selected fourth overall by the Toronto Raptors. While at Toronto, Bosh became a five-time NBA All-Star, was named to the All-NBA Second Team once, played for the U.S. national team (with whom he won a gold medal at the 2008 Summer Olympics), and supplanted former fan favorite Vince Carter as the face and leader of the Raptors franchise. In the 2006–07 season, Bosh led the Raptors to their first playoff appearance in five years and their first-ever division title. He left Toronto in 2010 as the franchise's all-time leader in points, rebounds, blocks, and minutes played.In 2010, after seven seasons with the Raptors, Bosh entered into a sign-and-trade deal whereby he was traded to the Miami Heat. In Miami, he joined fellow stars Dwyane Wade and LeBron James; the trio became known as the Big Three. Bosh spent the second half of his career with Miami, appearing in the NBA Finals each year from 2011 to 2014 and winning NBA titles in 2012 and 2013. He made the NBA All-Star team every year during his time in Miami. Bosh's career was cut short by a blood clotting condition that the NBA ruled to be a career-ending illness. He played his final NBA game on February 9, 2016. Notwithstanding the NBA's ruling, Bosh fought to resume his playing career for three years before announcing in February 2019 that he intended to retire. The same year, the Heat retired his No. 1 jersey. In 2021, Bosh was elected to the Basketball Hall of Fame.Seeking to promote sports and education amongst youths in Dallas and Toronto, Bosh set up the Chris Bosh Foundation and regularly speaks to youths about the benefits of reading.

[Ground truth Answer]
NOT ENOUGH INFO

[Assistant's Response]
The evidence provided focuses solely on Chris Bosh's basketball career, achievements, and philanthropic efforts. It does not mention anything about his coding skills or knowledge. Therefore, there is not enough information to support or refute the claim that Chris Bosh knows how to code.

[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: