Grease-Filled Die Screen
Summarize caller-observed indicators for grease-filled die screen without treating the result as conclusive.
Description
A grease-filled-die screen organizes declared weakness, rim, localized-loss and abrasion observations.
A grease-filled-die screen organizes declared weakness, rim, localized-loss and abrasion observations. These indicators can prompt comparison with other explanations of missing design.1
Summarize caller-observed indicators for grease-filled die screen without treating the result as conclusive.
When to use Grease-Filled Die Screen
Use this tool to summarize caller-observed indicators for grease-filled die screen without treating the result as conclusive.
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 Grease-Filled Die Screen 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 weakDesign, normalRim, localizedLoss, noAbrasion using the field table and calculation rules, then run the tool.
- Read indicatorCount, indicators, riskLevel. 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 |
|---|---|---|---|
| weakDesign | Weak or missing design | boolean | Required |
| normalRim | Normal surrounding rim | boolean | Required |
| localizedLoss | Localized feature loss | boolean | Required |
| noAbrasion | No abrasion across the loss | boolean | Required |
Set each observation flag according to available evidence. Count true flags equally; return count, their field IDs in configuration order and riskLevel. Two or more flags produce high, one caution and zero none.
indicatorCount=number of true flags; 0→none, 1→caution, 2–4→high Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.
| Output field | Meaning | Value type |
|---|---|---|
| indicatorCount | Indicator count | integer; minimum: 0 |
| indicators | Triggered indicators | list of string |
| riskLevel | Risk level | string; one of "none", "caution", "high" |
{
"input": {
"weakDesign": true,
"normalRim": true,
"localizedLoss": false,
"noAbrasion": false
},
"output": {
"indicatorCount": 2,
"indicators": [
"weakDesign",
"normalRim"
],
"riskLevel": "high"
}
}Limitations and assumptions
No coin or image is examined. The count does not distinguish all strike, wear, damage and die causes or authenticate an error.
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 Die Break Stage Classifier: Classify supplied die-break observations without authenticating the coin. For a complementary task, use Tooling Evidence Screen: Summarize caller-observed indicators for tooling evidence screen without treating the result as conclusive.
References
-
Grease-Filled Die Screen — tool.io
Similar or alternative tools
- Die Break Stage Classifier
Classify supplied die-break observations without authenticating the coin.
- Tooling Evidence Screen
Summarize caller-observed indicators for tooling evidence screen without treating the result as conclusive.