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Peer similarity
Peers
Python Algorithm Implementation - AI Detection Case Study
8
Submissions
28
Comparisons
2.8%
Average
44.7%
Highest
0
Flagged
Risk distribution
How submissions cluster by their highest peer score
7
1
Low (0 to 20%) 7
Medium (20 to 50%) 1
High (50%+) 0
Smart review queue 1
Review the strongest cohort outliers first, priority is not a plagiarism verdict
Median 0%
75th percentile 0%
Outlier line 40%
| # | Submission | Why it is prioritized | Vs. cohort | Top similarity | |
|---|---|---|---|---|---|
| 1 |
10_Justintime50_algorithms
|
Cohort outlier | +44.7 pts |
Priority 49
44.7%
|
Similarity cluster
Each card is a submission. Lines mean a similarity match; thicker / redder = stronger.
Low
Medium
High
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Analyzing 8 submissions…
Top similarity matches 0
0 flagged · click any row to drill in
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