Description
Flag adjudicator disagreement only when both labels are known.
Clinical research distinguishes supplied protocol metadata, participant/event records, allocation bookkeeping and an analysis target. A local count, permission flag or denominator choice can help reconcile records without establishing valid consent, randomization, regulatory compliance or a reliable treatment-effect estimate.
Flag adjudicator disagreement only when both labels are known.
When to use this tool
Use Adjudication Disagreement Flag when checking the stated clinical-research record, allocation, timing, analysis or evidence-basis convention.
How to use the tool and how it works
- Enter firstLabel, secondLabel, knownFirst, knownSecond. Use the units and conventions below.
- Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
- Read comparable, disagrees. Inspect comparable, disagrees before interpreting the associated values.
Flag adjudicator disagreement only when both labels are known. comparable = knownFirst && knownSecond, disagrees additionally requires unequal firstLabel/secondLabel.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| firstLabel | First Label | Required. Text; maximum UTF-16 length 8192. |
| secondLabel | Second Label | Required. Text; maximum UTF-16 length 8192. |
| knownFirst | Known First | Required. Boolean. |
| knownSecond | Known Second | Required. Boolean. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| comparable | Comparable | Required. Boolean. |
| disagrees | True only when both labels are known and differ; false with comparable=false is not evidence of agreement. | Required. Boolean. |
{
"input": {
"firstLabel": "A",
"secondLabel": "B",
"knownFirst": true,
"knownSecond": true
},
"output": {
"comparable": true,
"disagrees": true
}
}Limitations and assumptions
- Unknown labels produce disagrees false without agreement being established; no actual adjudication or diagnostic accuracy is evaluated.
- 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
Use the complete approved protocol, authenticated source records and qualified clinical/statistical oversight for actual trial design, conduct and interpretation.
References
Similar or alternative tools
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