Description
Intersect firstIds with secondIds and count unique shared identifiers.
Evidence bookkeeping records identifiers, reported methods, source editions, and supplied support flags. A complete-looking citation or matching record is different from evidence of a claim's validity.
Intersect firstIds with secondIds and count unique shared identifiers.
When to use this tool
Use Trial Report Sample Overlap Count when you need a reproducible source or study-record consistency check.
How to use the tool and how it works
- Enter firstIds, secondIds. Keep parallel arrays aligned. Use the units and conventions below.
- Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
- Read sharedIds. Use the output convention below.
Intersect firstIds with secondIds and count unique shared identifiers.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| firstIds | First Ids | Required. Array of text; maximum UTF-16 length 8192; maximum items 256. |
| secondIds | Second Ids | Required. Array of text; maximum UTF-16 length 8192; maximum items 256. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| sharedIds | Shared Ids | Required. Safe integer. |
{
"input": {
"firstIds": [
"a",
"b",
"b"
],
"secondIds": [
"b",
"c"
]
},
"output": {
"sharedIds": 1
}
}Limitations and assumptions
- Exact identifier equality is used; duplicate records, partial participant overlap, and study independence require separate review.
- Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
Alternative or Complementary methods
Read the original report and compare methods, outcomes, provenance, and uncertainty before assessing an evidence claim.
References
Similar or alternative tools
- Research Visit Support Share
Count distinct planned IDs and distinct IDs with at least one row satisfying all three flags; divide supported by planned.
- Public Product Source Gap
Count unequal edition pairs, false ingredient matches, and records satisfying both checks.