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Peer similarity
Peers
Java Plagiarism Demo — Peer, Web and AI
5
Submissions
10
Comparisons
44.3%
Average
100%
Highest
3
Flagged
Risk distribution
How submissions cluster by their highest peer score
2
3
Low (0 to 20%) 2
Medium (20 to 50%) 0
High (50%+) 3
Smart review queue 5
Review the strongest cohort outliers first, priority is not a plagiarism verdict
Median 89%
75th percentile 89%
Outlier line 100%
| # | Submission | Why it is prioritized | Vs. cohort | Top similarity | |
|---|---|---|---|---|---|
| 1 |
CBennett_A4.zip
|
Cohort outlier · Strong web match | +11 pts |
Priority 75
100%
|
|
| 2 |
Nowak_Alice_A4.zip
|
Strong peer match · Strong web match | 0 pts |
Priority 62
89%
|
|
| 3 |
carter_ben_assignment4.zip
|
Strong peer match · Strong web match | 0 pts |
Priority 62
89%
|
|
| 4 |
duffy_erin_A4.zip
|
Highest remaining score | -82 pts |
Priority 5
7%
|
|
| 5 |
whitfield_dan_a4.zip
|
Highest remaining score | -88 pts |
Priority 1
1%
|
Similarity cluster
Each card is a submission. Lines mean a similarity match; thicker / redder = stronger.
Low
Medium
High
Drag cards · scroll to zoom · click Detect clusters to colorize groups
Analyzing 5 submissions…
Top similarity matches 6
2 flagged · click any row to drill in
| # | Source | Matched with | Similarity | Status | ||
|---|---|---|---|---|---|---|
| 1 |
carter_ben_assignment4.zip
|
Nowak_Alice_A4.zip
|
|
High | ||
| 2 |
Nowak_Alice_A4.zip
|
carter_ben_assignment4.zip
|
|
High | ||
| 3 |
carter_ben_assignment4.zip
|
whitfield_dan_a4.zip
|
|
Low | ||
| 4 |
Nowak_Alice_A4.zip
|
whitfield_dan_a4.zip
|
|
Low | ||
| 5 |
whitfield_dan_a4.zip
|
Nowak_Alice_A4.zip
|
|
Low | ||
| 6 |
whitfield_dan_a4.zip
|
carter_ben_assignment4.zip
|
|
Low |