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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 (0–20%) 2 Medium (20–50%) 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
82%
High
2
Nowak_Alice_A4.zip
carter_ben_assignment4.zip
75%
High
3
carter_ben_assignment4.zip
whitfield_dan_a4.zip
6%
Low
4
Nowak_Alice_A4.zip
whitfield_dan_a4.zip
6%
Low
5
whitfield_dan_a4.zip
Nowak_Alice_A4.zip
1%
Low
6
whitfield_dan_a4.zip
carter_ben_assignment4.zip
1%
Low

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