RhetoricScore Review Lab
Review already-generated annotations and mappings for future Gold Data. Start from the source text and its context, compare the original label with the RhetoricScore mapping, then decide whether the item should be accepted, rejected, remapped, or kept uncertain.
Is this annotation or mapping usable for Gold Data?
Choose Review Set
cognitive / cognitive_benchmark_v0_sample
Full article text is not available in metadata or local source files.
Compare Original Label and RhetoricScore Mapping
Review the mapping and annotation quality. You do not need to judge whether the source text is factually true.
Is this annotation or mapping usable for Gold Data?
Review Item Details
Article Metadata
Full article text is not available in metadata or local source files.
Context Summary: Loaded from the existing review dataset.
Rhetorical Scores
Score data describing the text's rhetorical signals compared with the selected reference context.
No precomputed stability score is available for this review sample.
Detected Rhetorical Patterns
Cognitive Quality Signals (Experimental)
Explainability Details (η Coefficients & Context Modifiers)
| Detected Technique | Domain Core | Frequency | Saturated Score | Final Weight | Alpha Context | Eta Applied | |
|---|---|---|---|---|---|---|---|
| No detailed explainability table is available for this result. | |||||||
Raw metadata / debug
{
"placeholder": true
}
Unknown Preserved Fields
{
"expected_quality_band": null,
"source_category": "expert_expository",
"source_type": "human"
}
Inspect Backend Response (Diagnostic RAW JSON)
{
"id": "cog-v0-sample-001",
"source_category": "expert_expository",
"source_type": "human",
"language": "en",
"text": "A useful model separates the measured signal from the noise introduced by the instrument.",
"expected_quality_band": null,
"metadata": {
"placeholder": true
}
}