rewirebio.iobenchmarks
Contested result

RNAErnie and Evo: RNAGym fitness leaderboard (v0.1.1), leaderboard/fitness/README.md reverses the order

  • Low severity
  • Not yet reviewed
  • Ordering reversal
  • Different tasks across studies

RNAGym fitness leaderboard (v0.1.1), leaderboard/fitness/README.md ranks RNAErnie above Evo in 4 of 4 comparisons; other studies rank Evo above RNAErnie in 6 of 6.

An automatic lead, not a finding of error. The results below are shown as published, everywhere on the site, until a reviewer decides otherwise.

Which studies agree

Zero-shot benchmarking of RNA language… ranks Evo above RNAErnie in all 6 of its comparisons. RNAGym fitness leaderboard ranks RNAErnie above Evo in all 4 of its comparisons.

Papers grouped by which system they rank higher: Evo or RNAErnieRank Evo higher: Zero-shot benchmarking of RNA language…. Rank RNAErnie higher: RNAGym fitness leaderboard (disagrees). Mixed: none.Rank Evo higherMixedRank RNAErnie higherZero-shot benchmarkingof RNA language…Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learningRNAGym fitness leaderboardRNAGym fitness leaderboard (v0.1.1), leaderboard/fitness/README.md
  • Rank Evo higher (1): Zero-shot benchmarking of RNA language…
  • Rank RNAErnie higher (1): RNAGym fitness leaderboard (disagrees)
  • Mixed (0): none

Each paper sits where at least two thirds of its comparisons point; Mixed means neither model reaches two thirds. The larger, outlined dot is the paper that disagrees.

Comparisons in which each paper scores Evo or RNAErnie higherRNAGym fitness leaderboard (disagrees): Evo higher in 0, RNAErnie higher in 4, 0 ties. Zero-shot benchmarking of RNA language…: Evo higher in 6, RNAErnie higher in 0, 0 ties.Disagrees: RNAGym fitness leaderboardRNAGym fitness leaderboard (v0.1.1), leaderboard/fitness/README.md4 RNAErnie higher4Zero-shot benchmarking of RNA language…Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning6 Evo higher6
Evo higherTieRNAErnie higherNumbers are counts of comparisons; the outlined bar is the paper that disagrees.
Comparisons in RNAGym fitness leaderboard (4)
ProtocolDatasetMetricEvoRNAErnieHigher
RNAGym v0.1.1 fitness, signed Spearman, AptamerRNAGym Aptamer DMS assays (2)Spearman (mean signed Spearman over the 2 Aptamer assays), unitless0.00580.0306RNAErnie
RNAGym v0.1.1 fitness, signed Spearman, macro over 3 ncRNA categoriesRNAGym ncRNA DMS assays (31)Spearman (macro-mean over 3 ncRNA categories (equal category weights)), unitless0.1380.194RNAErnie
RNAGym v0.1.1 fitness, signed Spearman, RibozymeRNAGym Ribozyme DMS assays (26)Spearman (mean signed Spearman over the 26 Ribozyme assays), unitless0.02780.134RNAErnie
RNAGym v0.1.1 fitness, signed Spearman, tRNARNAGym tRNA DMS assays (3)Spearman (mean signed Spearman over the 3 tRNA assays), unitless0.3850.416RNAErnie
Comparisons in Zero-shot benchmarking of RNA language… (6)

What disagrees

Other studies
rank Evo above RNAErnie in 6 of 6 comparisons
This study
ranks RNAErnie above Evo in 4 of 4 comparisons
Compared
RNAErnie, Evo
Study that disagrees
RNAGym fitness leaderboard (v0.1.1), leaderboard/fitness/README.md
Other studies
Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning, Zero-shot benchmarking of RNA language models: Supplementary Information
Rule
Ordering reversal; different tasks across studies
Model identity
Matched across studies partly through links not yet reviewed

The compared numbers

Each value links to its result record and source. Compare values within one protocol; the rule compares rankings, not raw values across protocols.

In the study that disagrees (8)
StudyToolProtocol or benchmarkMetricValue
RNAGym fitness leaderboard (v0.1.1), leaderboard/fitness/README.mdEvo 1.5 (RNAGym fitness leaderboard v0.1.1)RNAGym v0.1.1 fitness, signed Spearman, macro over 3 ncRNA categoriesSpearman (macro-mean over 3 ncRNA categories (equal category weights))0.138
RNAGym fitness leaderboard (v0.1.1), leaderboard/fitness/README.mdEvo 1.5 (RNAGym fitness leaderboard v0.1.1)RNAGym v0.1.1 fitness, signed Spearman, RibozymeSpearman (mean signed Spearman over the 26 Ribozyme assays)0.0278
RNAGym fitness leaderboard (v0.1.1), leaderboard/fitness/README.mdEvo 1.5 (RNAGym fitness leaderboard v0.1.1)RNAGym v0.1.1 fitness, signed Spearman, tRNASpearman (mean signed Spearman over the 3 tRNA assays)0.385
RNAGym fitness leaderboard (v0.1.1), leaderboard/fitness/README.mdEvo 1 (RNAGym fitness leaderboard v0.1.1)RNAGym v0.1.1 fitness, signed Spearman, AptamerSpearman (mean signed Spearman over the 2 Aptamer assays)0.0058
RNAGym fitness leaderboard (v0.1.1), leaderboard/fitness/README.mdRNA-ERNIE (RNAGym fitness leaderboard v0.1.1)RNAGym v0.1.1 fitness, signed Spearman, AptamerSpearman (mean signed Spearman over the 2 Aptamer assays)0.0306
RNAGym fitness leaderboard (v0.1.1), leaderboard/fitness/README.mdRNA-ERNIE (RNAGym fitness leaderboard v0.1.1)RNAGym v0.1.1 fitness, signed Spearman, macro over 3 ncRNA categoriesSpearman (macro-mean over 3 ncRNA categories (equal category weights))0.194
RNAGym fitness leaderboard (v0.1.1), leaderboard/fitness/README.mdRNA-ERNIE (RNAGym fitness leaderboard v0.1.1)RNAGym v0.1.1 fitness, signed Spearman, RibozymeSpearman (mean signed Spearman over the 26 Ribozyme assays)0.134
RNAGym fitness leaderboard (v0.1.1), leaderboard/fitness/README.mdRNA-ERNIE (RNAGym fitness leaderboard v0.1.1)RNAGym v0.1.1 fitness, signed Spearman, tRNASpearman (mean signed Spearman over the 3 tRNA assays)0.416
In the other studies (12)
StudyToolProtocol or benchmarkMetricValue
Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learningEVO1.5 (8k_base) (zero-shot, Wang et al. 2026)Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, AUC (mean over assays)AUROC (PLL-D; mean over assays)0.588±0.056
Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learningEVO1.5 (8k_base) (zero-shot, Wang et al. 2026)Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, AUC (median over assays)AUROC (PLL-D; median over assays)0.586
Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learningEVO1.5 (8k_base) (zero-shot, Wang et al. 2026)Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (mean over assays)MCC (PLL-D; mean over assays)0.132±0.088
Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learningEVO1.5 (8k_base) (zero-shot, Wang et al. 2026)Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays)MCC (PLL-D; median over assays)0.13
Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learningEVO1.5 (8k_base) (zero-shot, Wang et al. 2026)Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, SR (mean over assays)Absolute spearman correlation (PLL-D; mean over assays)0.179±0.114
Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learningEVO1.5 (8k_base) (zero-shot, Wang et al. 2026)Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, SR (median over assays)Absolute spearman correlation (PLL-D; median over assays)0.178
Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learningRNAErnie (zero-shot, Wang et al. 2026)Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, AUC (mean over assays)AUROC (PLL-D; mean over assays)0.551±0.045
Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learningRNAErnie (zero-shot, Wang et al. 2026)Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, AUC (median over assays)AUROC (PLL-D; median over assays)0.541
Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learningRNAErnie (zero-shot, Wang et al. 2026)Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (mean over assays)MCC (PLL-D; mean over assays)0.076±0.069
Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learningRNAErnie (zero-shot, Wang et al. 2026)Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays)MCC (PLL-D; median over assays)0.051
Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learningRNAErnie (zero-shot, Wang et al. 2026)Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, SR (mean over assays)Absolute spearman correlation (PLL-D; mean over assays)0.100±0.092
Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learningRNAErnie (zero-shot, Wang et al. 2026)Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, SR (median over assays)Absolute spearman correlation (PLL-D; median over assays)0.081

Follow-up

Current state: Not yet reviewed.

No one has reviewed this finding yet.

How to help resolve this

If you know why these studies disagree, for example a different population, metric or preprocessing step, or you have a corrected value, tell us through the contribution form. A reviewer checks every submission against its source before anything changes, and the step is added to the follow-up above.

Finding discrepancy-1c82736bf8936ab1 · All contested results · How findings are made and followed up