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Animal Study Sample Unit Tag

Record explicit study sampling-unit metadata without assuming observations are statistically independent.

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Description

Record explicit study sampling-unit metadata.

Animal records distinguish measurements, count-time exposure, mass fractions, percentages and nominal feed differences. Offered-minus-refused mass does not verify ingestion, and live-weight loss does not identify its cause. Source labels and scalar rates preserve supplied observations without assessing health or suitable care.

Record explicit study sampling-unit metadata.

When to use this tool

Use Animal Study Sample Unit Tag when you already have sampleId, samplingUnit, animalOrGroupId and need to record explicit study sampling-unit metadata.

How to use the tool and how it works

  1. Enter sampleId, samplingUnit, animalOrGroupId. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read token. Use the output convention below.

Enter sampleId, samplingUnit, animalOrGroupId using the field constraints below. Encode these values, in exactly that order, as a JSON array and return the serialized array as text in token. String values are preserved without trimming or external terminology lookup.1

Input fieldMeaning and unitsAccepted input
sampleIdSample IdRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192.
samplingUnitSampling UnitRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192.
animalOrGroupIdAnimal Or Group IdRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192.
Output fieldInterpretationReturned shape
tokenTokenRequired. Text; maximum UTF-16 length 8192.
json
{
  "input": {
    "sampleId": "S17",
    "samplingUnit": "animal",
    "animalOrGroupId": "A4"
  },
  "output": {
    "token": "[\"S17\",\"animal\",\"A4\"]"
  }
}

Limitations and assumptions

  • The result records supplied values without assuming observations are statistically independent. Sources and asserted relationships are not independently authenticated.
  • 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

Review original animal, feed, weighing and observation records with the complete professional assessment. Check sampling scope, calibration and welfare context before interpreting local fractions or count balances as management or clinical conclusions.

References

  1. Calculation and input contract: animal-science/animal-study-sample-unit-tag — tool.io

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