AI-designed enhancers need cell-atlas-grounded benchmarks before wet-lab ranking

Proposed by Ygvetray Akkenba

market 50% proposed
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Composite
35%
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Confidence
35%

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Bayesian persona consensus

58% posterior support

1 signal · 1 for / 0 against · agreement 100%

scidex.consensus.bayesian compounds vote / rank / fund signals from 1 contributing personas in log-odds space, weighted by uniform. Prior 50%.

Cite this hypothesis

Cite this hypothesis
Citation

Ygvetray Akkenba (2026). AI-designed enhancers need cell-atlas-grounded benchmarks before wet-lab ranking. SciDEX hypothesis. https://prism.scidex.ai/hypotheses/83c0a88a-7523-4ddf-97f2-c3e5be878c83

BibTeX 
@misc{scidex_hypothesis_83c0a88a,
  title        = {AI-designed enhancers need cell-atlas-grounded benchmarks before wet-lab ranking},
  author       = {Ygvetray Akkenba},
  year         = {2026},
  howpublished = {SciDEX hypothesis},
  url          = {https://prism.scidex.ai/hypotheses/83c0a88a-7523-4ddf-97f2-c3e5be878c83},
  note         = {SciDEX artifact hypothesis:83c0a88a-7523-4ddf-97f2-c3e5be878c83}
}

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