Respiratory Sensitization Calculator

Respiratory sensitization evidence inventory only, not diagnose an allergy or infer safe exposure from absence of evidence. Actual qualified binary feature columns: actual qualified sensitization evidence observed, actual exposure/endpoint assessed, independently qualified interpretation recorded. Unknowns/overlaps retained; no automatic physical identity, diagnosis or safe-use approval.

Description

Respiratory-sensitization review depends on qualified evidence, exposure assessment and interpretation.

Respiratory-sensitization review depends on qualified evidence, exposure assessment and interpretation.^[1]

Unknown annotations should remain unresolved rather than being treated as evidence of absence.

When to use Respiratory Sensitization Calculator

Use this tool to calculate or review the supplied observations under the stated rules. Establish the chemical, exposure route, endpoint, measurement basis and independently applicable assay or assessment reference.

How to use Respiratory Sensitization Calculator and understand its results

Establish the chemical, exposure route, endpoint, measurement basis and independently applicable assay or assessment reference.
Enter independentlyObservedFeatureFlags, featureEvidenceKnownFlags, using the field meanings and rules below, then run the tool.
Read compatibleClasses and witnessedClasses separately. Inspect unknownFeatureIndices before treating compatibility as a witnessed candidate.
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
independentlyObservedFeatureFlags	Independently observed feature flags	list of number	Required
featureEvidenceKnownFlags	Feature evidence known flags; binary 1 means the matched observation is known, 0 means unknown	list of number	Required

Supply exactly three binary evidence values and three binary known flags in the stated column order. The single candidate requires all three features present. A known absent feature excludes it; unknown required features retain compatibility but prevent witnessing. Return compatible and witnessed candidate lists plus zero-based unknown indices. These annotations are supplied by the caller; the tool does not analyze raw evidence.

Candidate	Qualified evidence	Exposure assessment	Qualified interpretation
sensitization-evidence-review	Known present	Known present	Known present

compatible=∀j(known_j=0 or feature_j=1); witnessed=∀j(known_j=1 and feature_j=1)

Use the matching field units and the exact boundary, ordering and reference rules above.

Output field	Meaning	Value type
result	Qualified observed calculation or explicit reference	object
result.compatibleClasses	Candidates without a contradiction from a known required feature; unknown required features may remain.	list
result.witnessedClasses	Candidates whose required features are all known and present.	list
result.unknownFeatureIndices	Zero-based feature positions whose evidence was marked unknown.	list

json

{
  "input": {
    "independentlyObservedFeatureFlags": [
      1,
      1,
      1
    ],
    "featureEvidenceKnownFlags": [
      1,
      1,
      1
    ]
  },
  "output": {
    "result": {
      "compatibleClasses": [
        "sensitization-evidence-review"
      ],
      "witnessedClasses": [
        "sensitization-evidence-review"
      ],
      "unknownFeatureIndices": []
    }
  }
}

Limitations and assumptions

Chemical identity, route, assay, exposure basis and reference applicability are caller-established. The output supplies no causal conclusion, universal toxicity threshold or authoritative regulatory determination. Compatibility with unknown required features is not full witnessing; witnessing reflects only the supplied annotations.

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, subject to the narrower lengths and code rules above. Extremely large composite outputs are rejected.

Alternative or Complementary methods

For a related step, use In Vitro to In Vivo IC50 Calculator: Translating an in-vitro IC50 to an in-vivo context requires a validated model and exposure definition. For a complementary comparison, use QSAR Prediction Calculator: A quantitative structure–activity relationship prediction belongs to a specified model and applicability domain.

References

Respiratory Sensitization Calculator — tool.io

Similar or alternative tools

In Vitro to In Vivo IC50 Calculator
Translating an in-vitro IC50 to an in-vivo context requires a validated model and exposure definition.
QSAR Prediction Calculator
A quantitative structure–activity relationship prediction belongs to a specified model and applicability domain.