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Survey Detection Confidence Source Key

Preserve supplied survey detection-confidence metadata without calculating probability of detection.

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Description

Preserve supplied survey detection-confidence metadata.

Biodiversity records distinguish surveyed sites, nondetection, counts, sampling units, voucher references and source-qualified taxonomic states. A coordinate-precision label changes metadata rather than protecting a location. Relative abundance and mean count per represented unit depend on their supplied denominators and survey scope.

Preserve supplied survey detection-confidence metadata.

When to use this tool

Use Survey Detection Confidence Source Key when you already have surveyId, confidenceText, methodSource and need to preserve supplied survey detection-confidence metadata.

How to use the tool and how it works

  1. Enter surveyId, confidenceText, methodSource. 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 surveyId, confidenceText, methodSource 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
surveyIdSurvey IdRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192.
confidenceTextConfidence TextRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192.
methodSourceMethod SourceRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192.
Output fieldInterpretationReturned shape
tokenTokenRequired. Text; maximum UTF-16 length 8192.
json
{
  "input": {
    "surveyId": "S17",
    "confidenceText": "high",
    "methodSource": "protocol P4"
  },
  "output": {
    "token": "[\"S17\",\"high\",\"protocol P4\"]"
  }
}

Limitations and assumptions

  • The result records supplied values without calculating probability of detection. 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 specimens, original observations, sampling design and controlled taxonomic sources. Use complete detection, population and spatial methods when a local count fraction, source label or precision bin cannot answer the ecological or disclosure question.

References

  1. Calculation and input contract: biodiversity/survey-detection-confidence-source-key — tool.io

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