Magnet Response Precious Checker
Compare actual magnetic response with independently verified issue expectation, not precious-metal identity or authenticity; some genuine alloys/inserts are magnetic. Independently established columns: independently observed magnetic attraction, matched verified issue expected attraction, applicable observation conditions independently matched. Unknown observations and overlapping candidates retained; not automatic semantic parsing, proof of identity, fraud, authenticity, compliance or coverage.
Description
Magnetic attraction should be compared with the expected response of the identified alloy and issue.
Magnetic attraction should be compared with the expected response of the identified alloy and issue.1
This checker reports unexpected response candidates only under the supplied evidence conditions.
When to use Magnet Response Precious Checker
Use this tool to calculate or review the supplied observations under the stated rules. Establish the coin issue, source edition, measurement basis and reference date where applicable.
How to use Magnet Response Precious Checker and understand its results
- Establish the coin issue, source edition, measurement basis and reference date where applicable.
- Enter observedFeatureFlags, featureKnownFlags, using the field meanings and rules below, then run the tool.
- Read result. Inspect nested result fields where present, and review unknown records separately from known matches.
- Correct any reported input issue and run again. Before using a successful result, check the stated units, signs, reference scope and observation coverage.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| observedFeatureFlags | Observed feature flags | list of number | Required |
| featureKnownFlags | Feature known flags; binary 1 means the matched observation is known, 0 means unknown | list of number | Required |
Enter exactly three binary features in order: observed attraction, expected attraction, and observation conditions matched; supply binary known flags for each. unexpected-attraction-review requires [1,0,1], and unexpected-nonattraction-review requires [0,1,1]. A known mismatch excludes a candidate; unknown constrained features retain compatibility but prevent full witnessing.
compatible_c=∀j(known_j=0 or observed_j=rule_cj); witnessed_c=∀j(known_j=1 and observed_j=rule_cj) Use the matching field units and the exact boundary, ordering and reference rules above.
| Output field | Meaning | Value type |
|---|---|---|
| result | Calculated observation or qualified reference | object |
| result.compatibleClasses | compatible Classes | list |
| result.witnessedClasses | witnessed Classes | list |
| result.unknownFeatureIndices | unknown Feature Indices; zero-based positions in the relevant supplied record or adjacent-pair list; unresolved records kept separate from known results | list |
{
"input": {
"observedFeatureFlags": [
1,
0,
1
],
"featureKnownFlags": [
1,
1,
1
]
},
"output": {
"result": {
"compatibleClasses": [
"unexpected-attraction-review"
],
"witnessedClasses": [
"unexpected-attraction-review"
],
"unknownFeatureIndices": []
}
}
}Limitations and assumptions
Coin identification, reference applicability and measurement uncertainty require separate evidence. A returned explanation or arithmetic agreement does not establish authenticity, a certified grade or a current market value.
Missing required fields, unknown fields, wrong types and violated rules return input issues. Numeric values and outputs must be finite. Lists and matrices must be dense, without missing cells. Numeric lists allow at most 10000 entries; ordinary string lists allow at most 128 strings of 128 UTF-16 units each; numeric matrices allow at most 128 rows and 128 columns, subject to narrower requirements above. Extremely large composite outputs are rejected.
Alternative or Complementary methods
For a related step, use Seam Edge Cast Copy Checker: Casting-copy review can use separately observed manufacturing features. For a complementary comparison, use Counterfeit Density Flag Checker: Bulk density is mass divided by volume and can be compared with an issue-specific reference interval.
References
-
Magnet Response Precious Checker — tool.io
Similar or alternative tools
- Seam Edge Cast Copy Checker
Casting-copy review can use separately observed manufacturing features.
- Counterfeit Density Flag Checker
Bulk density is mass divided by volume and can be compared with an issue-specific reference interval.