EVEE / Mayo Work

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• EVEE provides mechanistic explanations for variant effects derived from model internals, not just pathogenicity calls.claim0.723
  Core interpretability claim distinguishing EVEE from black-box prediction tools; applies interpretability for science.
• PaLM-Econcept0.718
  Embodied multimodal language model combining a decoder-only LLM with a robot policy unit.
• Evee variant effect prediction methodmethod0.694
  The method that predicts and explains variant pathogenicity using Evo 2, producing disruption profiles.
• Mixture-of-Experts (MoE)concept0.691
  Architecture of Mixtral-8x7B; uses sparse expert routing affecting how hidden states are computed across layers.
• Mayo Clinicconcept0.690
  Clinical partner institution collaborating on EVEE variant pathogenicity predictions.
• Categorical VAEmethod0.687
  Used as the observation encoder/decoder for compressing visual and proprioceptive inputs into discrete latent states
• Evee provides predictions and mechanistic explanations for 4.2 million genetic variants across the whole human genomeclaim0.680
  Scale claim, demonstrating whole-genome applicability.
• Evee outperforms existing methods for variant pathogenicity predictionclaim0.680
  Interpretive claim supported by the high AUROC findings.