Machine vs. Die Doubling

Classify caller-observed indicators for machine vs. die doubling while preserving mixed and insufficient evidence.

Description

Doubling review separates machine-associated and die-associated evidence.

Doubling review separates machine-associated and die-associated evidence. A count-based classifier preserves equal-score uncertainty.^[1]

Classify caller-observed indicators for machine vs. die doubling while preserving mixed and insufficient evidence.

When to use Machine vs. Die Doubling

Use this tool to classify caller-observed indicators for machine vs. die doubling while preserving mixed and insufficient evidence.

Prepare documented records or observations for the specific coin or issue context. Enter the required labels, reference table or evidence flags and retain the supporting catalog and examination notes for interpretation.

How to use Machine vs. Die Doubling and understand its results

Prepare documented records or observations for the specific coin or issue context. Enter the required labels, reference table or evidence flags and retain the supporting catalog and examination notes for interpretation.
Enter flatShelf, reducedDeviceWidth, raisedSeparatedImage, repeatsAcrossCoins using the field table and calculation rules, then run the tool.
Read classification, firstScore, secondScore. The explanation below defines the units, signs, ordering and any flags or placeholder values.
If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.

Input field	Meaning	Value type; see rules below	Requirement
flatShelf	Flat shelf-like doubling	boolean	Required
reducedDeviceWidth	Reduced device width	boolean	Required
raisedSeparatedImage	Raised separated image	boolean	Required
repeatsAcrossCoins	Repeats across coins	boolean	Required

Set the four flags. Count flatShelf, reducedDeviceWidth for machine-doubling and raisedSeparatedImage, repeatsAcrossCoins for doubled-die. Both zero yields insufficient-evidence; equal positive scores yield mixed-evidence. Otherwise return the higher-score label with both counts.

firstScore=selected first-side flags; secondScore=selected second-side flags; classification follows their comparison

Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.

Output field	Meaning	Value type
classification	Classification	string; one of "machine-doubling", "doubled-die", "mixed-evidence", "insufficient-evidence"
firstScore	Machine-doubling indicators	integer; minimum: 0
secondScore	Doubled-die indicators	integer; minimum: 0

json

{
  "input": {
    "flatShelf": true,
    "reducedDeviceWidth": true,
    "raisedSeparatedImage": false,
    "repeatsAcrossCoins": false
  },
  "output": {
    "classification": "machine-doubling",
    "firstScore": 2,
    "secondScore": 0
  }
}

Limitations and assumptions

No photograph, die comparison or dimensional measurement is evaluated. A majority of selected flags does not authenticate a variety.

Numeric inputs must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors.

Alternative or Complementary methods

Use Doubled Die vs. Double Strike: Classify caller-observed indicators for doubled die vs. double strike while preserving mixed and insufficient evidence. For a complementary task, use Die Polish vs. Flow Lines: Classify caller-observed indicators for die polish vs. flow lines while preserving mixed and insufficient evidence.

References

Machine vs. Die Doubling — tool.io

Similar or alternative tools

Doubled Die vs. Double Strike
Classify caller-observed indicators for doubled die vs. double strike while preserving mixed and insufficient evidence.
Die Polish vs. Flow Lines
Classify caller-observed indicators for die polish vs. flow lines while preserving mixed and insufficient evidence.