Salient Factor Score Parole Points Model Calculator
Caller-calibrated summary-domain Salient Factor arithmetic, not the complete validated historical score or parole decision. This restricted caller-defined rubric has three independently declared criterion domains: independently verified parole instrument domain one, independently verified instrument domain two, independently verified instrument domain three. Scores 0–100, nonnegative calibrated weights; known-only normalized mean and unresolved weight retained. No universal validated model, population risk prediction, personal diagnosis or authorization.
Description
A salient-factor reference depends on its particular parole model and edition.
A salient-factor reference depends on its particular parole model and edition.1
This tool calculates a caller-weighted evidence summary rather than supplying an official point system. Use this tool to summarize known criterion scores under caller weights and retain missing-evidence coverage.
When to use Salient Factor Score Parole Points Model Calculator
Use this tool to summarize known criterion scores under caller weights and retain missing-evidence coverage. Establish the jurisdiction or research scope, observation and event definitions, reference date, matched period and denominator basis.
How to use Salient Factor Score Parole Points Model Calculator and understand its results
- Establish the jurisdiction or research scope, observation and event definitions, reference date, matched period and denominator basis.
- Enter independentlyAnnotatedCriterionScores, callerCalibratedCriterionWeights, criterionKnownFlags, using the field meanings and rules below, then run the tool.
- Read result.knownWeightedScore, result.unknownWeightFraction, result.unknownCriterionIndices. 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 |
|---|---|---|---|
| independentlyAnnotatedCriterionScores | Independently annotated criterion scores | list of number | Required |
| callerCalibratedCriterionWeights | Caller calibrated criterion weights | list of number | Required |
| criterionKnownFlags | Criterion known flags; 1 means known and 0 means unknown; keep the same item order | list of number | Required |
Enter exactly three aligned finite criterion scores, nonnegative weights and binary known flags. Scores must lie in 0–100 even when marked unknown. Require positive total weight and positive known weight; known items with only zero weights do not suffice. Divide the known weighted sum by known weight, report unknown weight divided by total weight, and retain zero-based unknown indices. The generic rubric neither supplies an official instrument nor calibrates a probability.
knownScore=Σ(score_i×weight_i×known_i)/Σ(weight_i×known_i); unknownWeightFraction=Σ(weight_i×(1−known_i))/Σweight_i 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.knownWeightedScore | Weighted mean over known criteria with positive known weight, on the supplied 0–100 scale | number |
| result.unknownWeightFraction | Unknown criterion weight divided by total criterion weight | number |
| result.unknownCriterionIndices | Zero-based positions of unknown criteria | list of values |
{
"input": {
"independentlyAnnotatedCriterionScores": [
20,
40,
60
],
"callerCalibratedCriterionWeights": [
1,
2,
1
],
"criterionKnownFlags": [
1,
1,
1
]
},
"output": {
"result": {
"knownWeightedScore": 40,
"unknownWeightFraction": 0,
"unknownCriterionIndices": []
}
}
}Limitations and assumptions
This tool calculates a caller-weighted evidence summary rather than supplying an official point system. Results depend on the independently established measurement basis and the exact model assumptions above.
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 Static Risk Factor Weighted Score Generic Calculator to examine a related aspect: A custom weighted risk rubric combines independently annotated criterion scores.
Use Classification Custody Score Points Model Calculator where its separate inputs and scope apply: Custody classification scores depend on a specific assessment instrument and context.
References
Similar or alternative tools
- Static Risk Factor Weighted Score Generic Calculator
A custom weighted risk rubric combines independently annotated criterion scores.
- Classification Custody Score Points Model Calculator
Custody classification scores depend on a specific assessment instrument and context.