##Instruction:
Database: codebase_community
Total Tables: 8
Total Columns: 71

Table Schemas:

Database: codebase_community
Total Tables: 8
Total Columns: 71

Table Schemas:

Table: badges (4 columns)
-------------------------
• Id (integer): the badge id
• UserId (integer): the unique id of the user
• Name (text): the badge name the user obtained
• Date (datetime): the date that the user obtained the badge

Table: comments (7 columns)
---------------------------
• Id (integer): the comment Id
• PostId (integer): the unique id of the post
• Score (integer): rating score
  Values: commonsense evidence:
The score is from 0 to 100. The score more than 60 refers that the comment is ...
• Text (text): the detailed content of the comment
• CreationDate (datetime): the creation date of the comment
• UserId (integer): the id of the user who post the comment
• UserDisplayName (text): user's display name

Table: postHistory (9 columns)
------------------------------
• Id (integer): the post history id
• PostHistoryTypeId (integer): the id of the post history type
• PostId (integer): the unique id of the post
• RevisionGUID (integer): the revision globally unique id of the post
• CreationDate (datetime): the creation date of the post
• UserId (integer): the user who post the post
• Text (text): the detailed content of the post
• Comment (text): comments of the post
• UserDisplayName (text): user's display name

Table: postLinks (5 columns)
----------------------------
• Id (integer): the post link id
• CreationDate (datetime): the creation date of the post link
• PostId (integer): the post id
• RelatedPostId (integer): the id of the related post
• LinkTypeId (integer): the id of the link type

Table: posts (21 columns)
-------------------------
• Id (integer): the post id
• PostTypeId (integer): the id of the post type
• AcceptedAnswerId (integer): the accepted answer id of the post
• CreaionDate (datetime): the creation date of the post
• Score (integer): the score of the post
• ViewCount (integer): the view count of the post
  Values: commonsense evidence:
Higher view count means the post has higher popularity
• Body (text): the body of the post
• OwnerUserId (integer): the id of the owner user
• LasActivityDate (datetime): the last activity date
• Title (text): the title of the post
• Tags (text): the tag of the post
• AnswerCount (integer): the total number of answers of the post
• CommentCount (integer): the total number of comments of the post
• FavoriteCount (integer): the total number of favorites of the post
  Values: commonsense evidence:
more favorite count refers to more valuable posts.
• LastEditorUserId (integer): the id of the last editor
• LastEditDate (datetime): the last edit date
• CommunityOwnedDate (datetime): the community owned date
• ParentId (integer): the id of the parent post
  Values: commonsense evidence:
If the parent id is null, the post is the root post. Otherwise, the post is th...
• ClosedDate (data_format): the closed date of the post
  Values: commonsense evidence:
if ClosedDate is null or empty, it means this post is not well-finished
if Clo...
• OwnerDisplayName (text): the display name of the post owner
• LastEditorDisplayName (text): the display name of the last editor

Table: tags (5 columns)
-----------------------
• Id (integer): the tag id
• TagName (text): the name of the tag
• Count (integer): the count of posts that contain this tag
  Values: more counts --> this tag is more popular
• ExcerptPostId (integer): the excerpt post id of the tag
• WikiPostId (integer): the wiki post id of the tag

Table: users (14 columns)
-------------------------
• Id (integer): the user id
• Reputation (integer): the user's reputation
  Values: commonsense evidence:
The user with higher reputation has more influence.
• CreationDate (datetime): the creation date of the user account
• DisplayName (text): the user's display name
• LastAccessDate (datetime): the last access date of the user account
• WebsiteUrl (text): the website url of the user account
• Location (text): user's location
• AboutMe (text): the self introduction of the user
• Views (integer): the number of views
• UpVotes (integer): the number of upvotes
• DownVotes (integer): the number of downvotes
• AccountId (integer): the unique id of the account
• Age (integer): user's age
  Values:  teenager: 13-18
 adult: 19-65
 elder: > 65
• ProfileImageUrl (text): the profile image url

Table: votes (6 columns)
------------------------
• Id (integer): the vote id
• PostId (integer): the id of the post that is voted
• VoteTypeId (integer): the id of the vote type
• CreationDate (datetime): the creation date of the vote
• UserId (integer): the id of the voter
• BountyAmount (integer): the amount of bounty

##Evidence:
percentage = DIVIDE(COUNT(UserId where UpVotes = 0 and Score BETWEEN 5 and 10))*100, (COUNT(UserId where Score BETWEEN 5 and 10));

##Role Access Policy (Column-Level):
Role: CommunityModerator
Accessible Columns: badges: Id, UserId, Name, Date; comments: ALL COLUMNS; postHistory: ALL COLUMNS; postLinks: ALL COLUMNS; posts: Id, PostTypeId, AcceptedAnswerId, CreaionDate, Score, ViewCount, Body, OwnerUserId, LasActivityDate, Title, Tags, AnswerCount, CommentCount, FavoriteCount, LastEditorUserId, LastEditDate, CommunityOwnedDate, ParentId, ClosedDate, OwnerDisplayName, LastEditorDisplayName; tags: Id, TagName, Count, ExcerptPostId, WikiPostId; users: Id, Reputation, CreationDate, DisplayName, LastAccessDate, Views, UpVotes, DownVotes, AccountId, Age; votes: Id, PostId, VoteTypeId, CreationDate, UserId, BountyAmount

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: Among the comments with scores between 5 to 10, what is the percentage of the users with 0 up votes?
Evidence: percentage = DIVIDE(COUNT(UserId where UpVotes = 0 and Score BETWEEN 5 and 10))*100, (COUNT(UserId where Score BETWEEN 5 and 10));
Answer: SELECT CAST(COUNT(DISTINCT CASE WHEN T1.UpVotes = 0 THEN T1.Id END) AS REAL) * 100/ COUNT(DISTINCT T1.Id) AS per FROM users AS T1 INNER JOIN comments AS T2 ON T1.Id = T2.UserId WHERE T2.Score BETWEEN 5 AND 10
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT CAST(COUNT(DISTINCT CASE WHEN T1.UpVotes = 0 THEN T1.Id END) AS REAL) * 100/ COUNT(DISTINCT T1.Id) AS per FROM users AS T1 INNER JOIN comments AS T2 ON T1.Id = T2.UserId WHERE T2.Score BETWEEN 5 AND 10