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Peer similarity
Peers
Computer Science Fundamentals - Code Integrity Assessment
16
Submissions
120
Comparisons
9.9%
Average
86%
Highest
1
Flagged
Risk distribution
How submissions cluster by their highest peer score
11
4
1
Low (0 to 20%) 11
Medium (20 to 50%) 4
High (50%+) 1
Smart review queue 8
Review the strongest cohort outliers first, priority is not a plagiarism verdict
Median 8%
75th percentile 21.3%
Outlier line 40%
| # | Submission | Why it is prioritized | Vs. cohort | Top similarity | |
|---|---|---|---|---|---|
| 1 |
9_afa-farkhod_Sorting-Algorithms
|
Cohort outlier · Strong web match | +78 pts |
Priority 78
86%
|
|
| 2 |
5_PolyakovBoris_heapSort
|
Above cohort baseline | +22 pts |
Priority 31
30%
|
|
| 3 |
10_matrangam_java-heap-sorter
|
Above cohort baseline | +15 pts |
Priority 23
23%
|
|
| 4 |
7_DiegoARomeroH_HeapSort
|
Above cohort baseline | +14 pts |
Priority 22
22%
|
|
| 5 |
5_Migeuskz_heapSort
|
Above cohort baseline | +13 pts |
Priority 21
21%
|
|
| 6 |
10_GabrielFerreiraMendes_HeapSort
|
Above cohort baseline | +5 pts |
Priority 11
13%
|
|
| 7 |
2_MohitS1999_MinHeapsort
|
Above cohort baseline | +1 pts |
Priority 7
9%
|
|
| 8 |
3_blockhart615_HeapSort
|
Highest remaining score | 0 pts |
Priority 6
8%
|
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 16 submissions…
Top similarity matches 6
0 flagged · click any row to drill in
| # | Source | Matched with | Similarity | Status | ||
|---|---|---|---|---|---|---|
| 1 |
5_PolyakovBoris_heapSort
|
5_Migeuskz_heapSort
|
|
Low | ||
| 2 |
7_DiegoARomeroH_HeapSort
|
4_kikesainz_HeapSort
|
|
Low | ||
| 3 |
5_Migeuskz_heapSort
|
5_PolyakovBoris_heapSort
|
|
Low | ||
| 4 |
10_matrangam_java-heap-sorter
|
8_theoskille_SortAlgorithmVisual...
|
|
Low | ||
| 5 |
4_kikesainz_HeapSort
|
7_DiegoARomeroH_HeapSort
|
|
Low | ||
| 6 |
8_theoskille_SortAlgorithmVisual...
|
10_matrangam_java-heap-sorter
|
|
Low |