Regummed Detection Gloss Test Flag Checker

Compare observed gloss against independent same-paper reference bands; no physical testing instructions or proof of regumming. Missing observations remain explicit. Caller independently verifies observations, reference edition, units and applicability; not a grading-service certificate, authentication, conservation treatment, actual market price or legal/insurance entitlement.

Description

Gum gloss observations can be one part of reviewing whether gum condition merits further attention.

Gum gloss observations can be one part of reviewing whether gum condition merits further attention.1

This checker compares supplied measurements with caller bands and retains unknown assessments without authenticating original gum.

When to use Regummed Detection Gloss Test Flag Checker

Use this tool when you need to review known observations against explicit inclusive bands. Prepare independently verified observations, reference edition/context, and matching units or currency basis.

How to use Regummed Detection Gloss Test Flag Checker and understand its results

  1. Prepare independently verified observations, reference edition/context, and matching units or currency basis.
  2. Enter observedGloss, callerGlossLower, callerGlossUpper, knownGlossFlags, following the field table and calculation rules below, then run the tool.
  3. Read signedKnownMargins, knownReviewIndices, unknownIndices. For result objects, inspect the nested output fields below, including any missing evidence or selected indices.
  4. Correct any input issues and run again. Before using a successful result, review its units, signs, evidence coverage, and stated model or reference assumptions.
Input fieldMeaningValue typeRequirement
observedGlossObserved glosslist of numberRequired
callerGlossLowerCaller gloss lowerlist of numberRequired
callerGlossUpperCaller gloss upperlist of numberRequired
knownGlossFlagsKnown gloss flags; binary 1 means assessed and 0 means unknown.list of numberRequired

Enter nonempty aligned observed values, caller lower/upper bounds, and binary known flags. Require lower≤upper for every row, even an unknown one. For a known value return min(value−lower,upper−value): positive inside, zero on a boundary, and negative outside. Only known values strictly outside the inclusive band enter knownReviewIndices. Unknown rows receive a zero placeholder and their separate unknownIndices, so an unknown zero margin is not passing evidence.

margin_i=known_i?min(observed_i−lower_i,upper_i−observed_i):0

Read these symbols with the field meanings and branch or reference rules above.

Output fieldMeaningValue type
signedKnownMarginsMinimum signed distance to the two inclusive bounds for known observations; zero placeholder for unknown observations.list of number
knownReviewIndicesZero-based input positions that are known and strictly outside the inclusive reference band.list of number
unknownIndicesZero-based input positions without a known observation; inspect before interpreting zero placeholders.list of number
json
{
  "input": {
    "observedGloss": [
      2,
      5
    ],
    "callerGlossLower": [
      1,
      1
    ],
    "callerGlossUpper": [
      3,
      4
    ],
    "knownGlossFlags": [
      1,
      0
    ]
  },
  "output": {
    "signedKnownMargins": [
      1,
      0
    ],
    "knownReviewIndices": [],
    "unknownIndices": [
      1
    ]
  }
}

Limitations and assumptions

The observation method, units, and appropriate bounds come from the supplied records. Unknown observations remain unassessed, and numeric band agreement does not authenticate an item or establish a certified grade.

Missing required fields, unknown fields, wrong types, and violated calculation rules return input issues. Numeric values must be finite; nonfinite numeric outputs are rejected. Arrays must be dense, with no missing cells. Numeric lists allow at most 10000 entries, subject to smaller tool-specific bounds above.

Alternative or Complementary methods

For a related task, use Gum Condition Descriptor Selector (MNH/MH/MLH/Used): Gum-condition abbreviations describe observations of use, gum presence, and hinge trace. This selector applies an explicit precedence rule to supplied booleans rather than authenticating the gum or grading a specimen. For a complementary step, use Hinge Remover Trace Penalty Rater: A hinge trace may affect a condition reference or valuation, depending on the stamp and grading convention. This rater interpolates a supplied hinge-trace penalty curve rather than imposing a universal deduction.

References

  1. Regummed Detection Gloss Test Flag Checker — tool.io

Similar or alternative tools

  • Gum Condition Descriptor Selector (MNH/MH/MLH/Used)

    Gum-condition abbreviations describe observations of use, gum presence, and hinge trace. This selector applies an explicit precedence rule to supplied booleans rather than authenticating the gum or grading a specimen.

  • Hinge Remover Trace Penalty Rater

    A hinge trace may affect a condition reference or valuation, depending on the stamp and grading convention. This rater interpolates a supplied hinge-trace penalty curve rather than imposing a universal deduction.

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