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Vendor ethics statement says models are trained exclusively on pseudonymized student data, historical grading records, pedagogical goals, conceptual labels, patterns, and rubrics, with no PII collected or required; Sense also states each grading model is benchmarked against human graders, audited for bias, and designed with human-in-the-loop oversight. Internal assessment summary later states Sense Instant Feedback uses a Claude-based LLM and SNHU data is not used to update models.
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Model details
- Model family
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- Base model
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- Context window
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- Input modalities
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- Output modalities
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- Access
- Proprietary
- Pricing
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- API available
- Yes
Mantle Index
Equity Score
MixedMeasures fairness across demographic groups. Higher is more equitable.
Safety Score
StrongMeasures resistance to harmful outputs. Higher is safer.
The Equity Score and Safety Score roll up the latest Mantle Index assessment. Component breakdowns and risk-tier justification are available on Pro and Enterprise.
Benchmark sub-scores
Security score
Computed from compliance, encryption, data handling, documentation, and vendor contacts — multiplied by research confidence (medium).
Vendor contacts
Certifications
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Research coverage
0 dimensions fully covered · 0 partially covered.
Supply chain
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Citations
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Recent changes
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