proof blockPage 182%
This equation captures one of the core mathematical components of the system. where GPT-5-nano (F1=0.967) outperforms ClinicalBERT (F1=0.887). On ADE, L2D-Clinical achieves F1=
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L2D-Clinical: Learning to Defer for Adaptive Model Selection in Clinical Text Classification explores Adaptive model selection framework for clinical text classification that intelligently defers to LLMs for improved accuracy and cost-efficiency.. Commercial viability score: 6/10 in Clinical AI.
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Canonical route: /paper/l2d-clinical-learning-to-defer-for-adaptive-model-selection-in-clinical-text-classification
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Agent Handoff
Canonical ID l2d-clinical-learning-to-defer-for-adaptive-model-selection-in-clinical-text-classification | Route /paper/l2d-clinical-learning-to-defer-for-adaptive-model-selection-in-clinical-text-classification
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/l2d-clinical-learning-to-defer-for-adaptive-model-selection-in-clinical-text-classificationMCP example
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/buildability/l2d-clinical-learning-to-defer-for-adaptive-model-selection-in-clinical-text-classification
Subject: L2D-Clinical: Learning to Defer for Adaptive Model Selection in Clinical Text Classification
Verdict
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Dimensions overall score 6.0
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This equation captures one of the core mathematical components of the system. where GPT-5-nano (F1=0.967) outperforms ClinicalBERT (F1=0.887). On ADE, L2D-Clinical achieves F1=
Page and bbox are available; crop image is pending.
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Receipt path
/buildability/l2d-clinical-learning-to-defer-for-adaptive-model-selection-in-clinical-text-classification
Paper ref
l2d-clinical-learning-to-defer-for-adaptive-model-selection-in-clinical-text-classification
arXiv id
2604.13285
Generated at
2026-04-16T20:27:58.132Z
Evidence freshness
stale
Last verification
2026-04-16T20:27:58.132Z
Sources
3
References
0
Coverage
50%
Lineage hash
f7b6a1cc7ca212aa9b839cef33faaa6126c5d87a962235ee0816ba5cc753502f
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unsigned_external
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Verification
not_verified
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Pending verification refs / 3 sources / Verification pending
repo_url
references
This equation captures one of the core mathematical components of the system. ( fL(x) if d(x) ≥τ fB(x) otherwise ˆy = To illustrate, consider two sentences at infere
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This equation captures one of the core mathematical components of the system. puts d(x) = 0.73 ≥τ, triggering deferral to the LLM
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