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PrimitivesScore question
Score
Rate the state against 2 to 10 ordered levels; returns a probability-weighted position, per-level probabilities, and confidence.
- Category
- Primitives
- Also known as
- Score question
- Related terms
- 6
- Directory entries
- 3
- Docs
- docs.typesafe.ai
- Added
- 2026-09-24
Definition
A Score question takes an ordered array of level descriptions. The answer's score is each level's index multiplied by its probability, so it can land between levels — 0×0.0 + 1×0.57 + 2×0.43 = 1.43. The legend field maps level numbers back to their descriptions.
Levels are judged separately, so describing one level as worse than another adds no signal, and the model sees descriptions rather than numbers. Score fits a spectrum with described points — bug severity, frustration, skill level — and the arithmetic belongs in code.
Tagsprimitivesevaluation
Related terms
Definitions that connect to this one.
ChoicePick one option from a set you define; returns the selected option, a probability for every option, and confidence.PrimitivesNoulThe yes/no primitive: one probability from 0 to 1, where the value is the answer and no separate confidence is returned.PrimitivesScore levelOne entry in a Score's ordered criteria list; levels are numbered by array position from 0 and judged independently.PrimitivesWeighted scoreThe Score answer computed as each level number times its probability, which is why a score can land between two levels.Answers & ConfidenceScore legendThe Score answer field that maps each level number back to its description, so results stay readable after the fact.PrimitivesComposite scoringBreak a judgment into atomic Score questions, normalize each, and combine them with weights you control in code.Patterns
From the directory
Rate content against 2 to 10 ordered levels. Returns a probability-weighted score that can land between levels, per-level probabilities, and confidence, with the arithmetic left to code.
Practices & PatternsDocs#official#primitives#score
Official
The three TypeSafe question types, the typed answers they return, how to choose between them, and how to ask several in a single call.
Practices & PatternsDocs#official#primitives#choice
Official
Break a judgment into atomic Score questions, normalize each by its top level, and combine them with weights you control in code, as in the resume example's four scored dimensions.
Practices & PatternsDocs#official#patterns#score
Official
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