Pulp Test Response Checker
actual pulp-test response evidence screen only; sensibility is not pulp vitality, causation or definitive diagnosis. Actual independently established feature columns: independently observed response, independently observed persistence beyond stimulus, actual control/test conditions verified. Unknown and overlapping candidates retained, not automatic diagnosis, causation, predicted performance or safety approval.
Description
Pulp sensibility tests observe a response to stimulation.
Pulp sensibility tests observe a response to stimulation.1
Response and persistence do not alone establish pulp vitality or a definitive diagnosis. Use this tool to compare independently annotated known features with fixed candidate rules.
When to use Pulp Test Response Checker
Use this tool to compare independently annotated known features with fixed candidate rules. Establish the qualified examination or measurement context, matching instrument/protocol edition, site order and units.
How to use Pulp Test Response Checker and understand its results
- Establish the qualified examination or measurement context, matching instrument/protocol edition, site order and units.
- Enter independentlyObservedFeatureFlags, featureKnownFlags, using the field meanings and rules below, then run the tool.
- Read result.compatibleClasses, result.witnessedClasses, result.unknownFeatureIndices. Interpret each field using the units, signs and evidence rules below.
- If input validation fails, correct the reported field and run again. Before applying a successful result, check the stated reference scope, units, assumptions and any retained unknown evidence.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| independentlyObservedFeatureFlags | Independently observed feature flags; binary 0/1 in the order documented below | list of number | Required |
| featureKnownFlags | Feature known flags; 1 means known and 0 means unknown; keep the same item order | list of number | Required |
Enter binary observed and known flags in the exact column order below. A known mismatch with a constrained rule excludes a candidate; unknown constrained evidence leaves it compatible but prevents full witnessing. A −1 rule ignores that column, including unknown evidence there. Return all compatible and witnessed candidates and zero-based unknown indices, preserving overlap. The comparison records supplied evidence without inferring facts, identity, diagnosis or legal status.
| Zero-based column | Observed feature |
|---|---|
| 0 | Independently observed response |
| 1 | Independently observed persistence beyond stimulus |
| 2 | Actual control/test conditions verified |
| Candidate | Independently observed response | Independently observed persistence beyond stimulus | Actual control/test conditions verified |
|---|---|---|---|
| response-observed | Known present (1) | Ignored | Known present (1) |
| persistent-response-observed | Known present (1) | Known present (1) | Known present (1) |
compatible_c=no known constrained mismatch; witnessed_c=all constrained features known and matching; ignored columns impose no condition Apply the field units and exact ordering, boundary and evidence rules above.
| Output field | Meaning | Value type |
|---|---|---|
| result | Structured result containing the calculation or selected reference fields below | object |
| result.compatibleClasses | All candidates consistent with known features; may include candidates with missing evidence | list of string |
| result.witnessedClasses | Candidates with all required feature constraints actually known and satisfied | list of string |
| result.unknownFeatureIndices | Zero-based positions of unknown features | list of values |
{
"input": {
"independentlyObservedFeatureFlags": [
1,
1,
1
],
"featureKnownFlags": [
1,
1,
1
]
},
"output": {
"result": {
"compatibleClasses": [
"response-observed",
"persistent-response-observed"
],
"witnessedClasses": [
"response-observed",
"persistent-response-observed"
],
"unknownFeatureIndices": []
}
}
}Limitations and assumptions
Feature and criterion flags are independent annotations. Unknown evidence remains unknown; matching rules do not establish a diagnosis, cause, prediction or approval.
Every listed input requires an explicit value. Unexpected fields, incorrect value types, nonfinite numbers and sparse numeric arrays fail validation; tool-specific bounds and alignment rules apply as described above. Extremely large inputs or outputs can also be rejected. An input error is distinct from a successful calculation that reports a false comparison or retains unknown evidence.
Alternative or Complementary methods
Use Cold Test Response Checker to examine a related aspect: Cold testing records a sensory response and its persistence after stimulation.
Use Electric Pulp Test Threshold Calculator where its separate inputs and scope apply: An electric pulp test records responses at measured stimulus levels.
References
-
Pulp Test Response Checker — tool.io
Similar or alternative tools
- Cold Test Response Checker
Cold testing records a sensory response and its persistence after stimulation.
- Electric Pulp Test Threshold Calculator
An electric pulp test records responses at measured stimulus levels.