Proof vs. Business Strike

Classify caller-observed indicators for proof vs. business strike while preserving mixed and insufficient evidence.

Description

Strike classification distinguishes production categories from surface appearance alone.

Strike classification distinguishes production categories from surface appearance alone. This tool compares declared proof and business-strike indicators without requiring complete evidence.1

Classify caller-observed indicators for proof vs. business strike while preserving mixed and insufficient evidence.

When to use Proof vs. Business Strike

Use this tool to classify caller-observed indicators for proof vs. business strike 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 Proof vs. Business Strike and understand its results

  1. 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.
  2. Enter documentedProofIssue, squaredRims, ordinaryProductionIssue, singleStrikeTexture using the field table and calculation rules, then run the tool.
  3. Read classification, firstScore, secondScore. The explanation below defines the units, signs, ordering and any flags or placeholder values.
  4. 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 fieldMeaningValue type; see rules belowRequirement
documentedProofIssueDocumented proof issuebooleanRequired
squaredRimsSquared rimsbooleanRequired
ordinaryProductionIssueOrdinary production issuebooleanRequired
singleStrikeTextureOrdinary strike texturebooleanRequired

Set the four flags. Count documentedProofIssue, squaredRims for proof-strike and ordinaryProductionIssue, singleStrikeTexture for business-strike. 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 fieldMeaningValue type
classificationClassificationstring; one of "proof-strike", "business-strike", "mixed-evidence", "insufficient-evidence"
firstScoreProof indicatorsinteger; minimum: 0
secondScoreBusiness-strike indicatorsinteger; minimum: 0
json
{
  "input": {
    "documentedProofIssue": true,
    "squaredRims": true,
    "ordinaryProductionIssue": false,
    "singleStrikeTexture": false
  },
  "output": {
    "classification": "proof-strike",
    "firstScore": 2,
    "secondScore": 0
  }
}

Limitations and assumptions

Issue documentation and coin surfaces are not inspected. One flag can win even while contrary evidence remains present.

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 Machine vs. Die Doubling: Classify caller-observed indicators for machine vs. die doubling while preserving mixed and insufficient evidence. For a complementary task, use Grading Detail Code Match: Compare caller-supplied expected and observed records for grading detail code match.

References

  1. Proof vs. Business Strike — tool.io

Similar or alternative tools

  • Machine vs. Die Doubling

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

  • Grading Detail Code Match

    Compare caller-supplied expected and observed records for grading detail code match.

Don't forget to set a bookmark for tool.io!
Privacy | Imprint | Cookies