---
title: "onto-eval-answer-scoring — Mova code model"
description: "Mova code model of onto/src/eval.rs: components with their labels, obernants and the model text."
url: "https://groupants.elamur.ai/free/en/mova/onto/src/eval.rs.groupant/answer-scoring.groupant/"
---
Elamur: [Mova](https://md.mova.elamur.ai/free/en/) · [Dictionary](https://md.dictionary.elamur.ai/free/en/) · [Research](https://md.research.elamur.ai/free/en/) · **Groupants**

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# onto-eval-answer-scoring

The groupant beside onto/src/eval.rs in the Mova repository: what the code computes, what it never does, how to go back from its outputs, its invariants, cost and checks.

## Facts

- **kind:** groupant_fragment
- **status:** partial source bound model
- **source:** [`onto/src/eval.rs`](https://github.com/ElamurAI/mova-free/blob/main/onto/src/eval.rs)
- **source SHA-256:** `71b3589b0af820da…`
- **covers:** S(a,g)=Correct if g∈{yes,no,undetermined} and code(a)=g; otherwise Unknown iff verdict Unknown else Wrong. For g=unknown, Correct iff Unknown else Wrong. For frame g: Correct iff ∃v∈values:v≈ASCII g, else Unknown iff Unknown else Wrong. (bytes 1878–2692)
- **part of:** [onto-eval](https://md.groupants.elamur.ai/free/en/mova/onto/src/eval.rs.groupant/)
- **repository folder:** [`onto/src/eval.rs.groupant/answer-scoring.groupant`](https://github.com/ElamurAI/mova-free/tree/main/onto/src/eval.rs.groupant/answer-scoring.groupant)
- **repository commit:** `48f2e6f74146`

> **Implementation material.** A Mova code model describes this code at one source revision: partial models, finite checks and their stated scope. It is not a reviewed general exposition, and its labels are shown as written, never raised.

## Components

| component | label | where |
|---|---|---|
| **approximant** | partial | [approximant](#approximant) |
| **ast** | partial | `../syntax.json` |
| **composition** | partial | [composition](#composition) |
| **cost** | partial | [Cost](#cost) |
| **descriptant** | present | [descriptant](#descriptant) |
| **invariant** | partial | `model.md` |
| **tests** | executed bounded checks | [tests](#tests) |

## Obernants

The typed relations around the forward model: the behaviour complement (what the code never does), the reverse reconstruction (every input compatible with an output) and specialised views.

| id | type | label | where |
|---|---|---|---|
| `behavior_complement` | behavior_complement | partial source derived model | [behavior_complement](#behavior-complement) |
| `reverse_reconstruction` | reverse_reconstruction | partial source derived model | [reverse_reconstruction](#reverse-reconstruction) |
| `literal_partition` | literal_partition | partial source derived model | [literal_partition](#literal-partition) |
| `ascii_equivalence` | ascii_equivalence | partial source derived model | [ascii_equivalence](#ascii-equivalence) |
| `fallback_priority` | fallback_priority | partial source derived model | [fallback_priority](#fallback-priority) |
| `pure_cost` | pure_cost | partial source derived model | [pure_cost](#pure-cost) |

## Model text


### descriptant

#### onto-eval-answer-scoring

S(a,g)=Correct if g∈{yes,no,undetermined} and code(a)=g; otherwise Unknown iff verdict Unknown else Wrong. For g=unknown, Correct iff Unknown else Wrong. For frame g: Correct iff ∃v∈values:v≈ASCII g, else Unknown iff Unknown else Wrong.

Epoch 2026-10-31: source byte range [1878,2692) with source and range hashes, sharing parent lexical AST. Partial source-derived scope, no semantic proof.

### approximant

#### Scoped forward relation

S(a,g)=Correct if g∈{yes,no,undetermined} and code(a)=g; otherwise Unknown iff verdict Unknown else Wrong. For g=unknown, Correct iff Unknown else Wrong. For frame g: Correct iff ∃v∈values:v≈ASCII g, else Unknown iff Unknown else Wrong.

Scope bytes [1878,2692) only. Preconditions and exceptions in this scope's catalog; no claims for parent orchestration.

Executable approximant gap: no useful percentage metric established for these categorical/effectful observations. No surrogate or production substitution. Future caps 1/2/5/10% require a metric/domain and evidence; no numerical error bound follows here.

### invariant

## Scoped observations

Frame match excludes Unknown/Wrong status even if verdict Unknown. Gold unknown never yields status Unknown.

### Cost

O(sum of compared value bytes), constant auxiliary state; no IO or mutation.

### composition

#### Scope contribution

S(a,g)=Correct if g∈{yes,no,undetermined} and code(a)=g; otherwise Unknown iff verdict Unknown else Wrong. For g=unknown, Correct iff Unknown else Wrong. For frame g: Correct iff ∃v∈values:v≈ASCII g, else Unknown iff Unknown else Wrong.

This fragment contributes only `answer-scoring`. Parent owns input acquisition, surrounding dispatch and downstream joins. Complement and compatible antecedents are scoped in models.md rather than copied parent statements.

### models

### behavior_complement

Frame match excludes Unknown/Wrong status even if verdict Unknown. Gold unknown never yields status Unknown.

### reverse_reconstruction

S^-1(Correct,unknown)={a|verdict(a)=Unknown}. S^-1(Correct,frame g)={a|∃v≈ASCII g}; extra values/order/lines unconstrained.

### literal_partition

Four verdict strings reserved, not treated as frames.

### ascii_equivalence

Commerce/commerce collapse; no Unicode normalization.

### fallback_priority

Frame membership precedes Unknown fallback.

### pure_cost

Linear compared bytes, no IO/mutation.

### tests

#### Evidence boundary

Scoring, tally, empty majority and tiny hash/UTF8 failure ordering executed. Query execution, graph shuffle/leak/unknown controls/report effects unexecuted; no frozen benchmark set read.

Parent tests.md names actual selected tests; this scope does not claim all its branches executed. The compiled control listed in parent receipt applies only to the named mutated boundary.