rewirebio.iobenchmarks
Protocol

Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), WT-LLR, AUC (mean over assays)

Zero-shot: wild-type conditioned log-likelihood ratio from token logits; AUC reported as mean over assays (Supplementary Table 10).

22 evaluations · 22 results

Overview

An explanatory profile has not yet been reviewed for this record.

Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.

22 recorded evaluations, 22 metric rows. A comparison chart has not yet been validated for these results. The table retains the individual findings and their sources.

View coverage and remaining gaps across all benchmarks

Results

Results are available, but no reviewed comparison panel is linked in this release.

All evaluations

22 evaluations · 22 results. Different protocols are not a single leaderboard.

Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), WT-LLR, AUC (mean over assays) · Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)

Sorted by AUROC (WT-LLR; mean over assays) (higher is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.

All 22 result rows with coverage, uncertainty and sources
Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: AIDO.RNA (1.6B) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), WT-LLR, AUC (mean over assays)
Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)
0.617±0.079 AUROC (WT-LLR; mean over assays)
unitless · higher

Uncertainty: SD 0.079

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

AIDO.RNA (1.6B) zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, AUC, mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t10-auc-mean

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 10, row 'AIDO.RNA (1.6B)', column 'AUC' (Mean ± Std)
Configuration: AIDO.RNA (650M) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), WT-LLR, AUC (mean over assays)
Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)
0.606±0.088 AUROC (WT-LLR; mean over assays)
unitless · higher

Uncertainty: SD 0.088

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

AIDO.RNA (650M) zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, AUC, mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t10-auc-mean

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 10, row 'AIDO.RNA (650M)', column 'AUC' (Mean ± Std)
Configuration: DGRNA (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), WT-LLR, AUC (mean over assays)
Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)
0.620±0.077 AUROC (WT-LLR; mean over assays)
unitless · higher

Uncertainty: SD 0.077

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

DGRNA zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, AUC, mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t10-auc-mean

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 10, row 'DGRNA', column 'AUC' (Mean ± Std)
Configuration: LAMAR (2k) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), WT-LLR, AUC (mean over assays)
Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)
0.547±0.039 AUROC (WT-LLR; mean over assays)
unitless · higher

Uncertainty: SD 0.039

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

LAMAR (2k) zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, AUC, mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t10-auc-mean

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 10, row 'LAMAR (2k)', column 'AUC' (Mean ± Std)
Configuration: LAMAR (4k) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), WT-LLR, AUC (mean over assays)
Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)
0.570±0.059 AUROC (WT-LLR; mean over assays)
unitless · higher

Uncertainty: SD 0.059

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

LAMAR (4k) zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, AUC, mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t10-auc-mean

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 10, row 'LAMAR (4k)', column 'AUC' (Mean ± Std)
Configuration: LucaOne (D17.6M) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), WT-LLR, AUC (mean over assays)
Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)
0.562±0.052 AUROC (WT-LLR; mean over assays)
unitless · higher

Uncertainty: SD 0.052

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

LucaOne (D17.6M) zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, AUC, mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t10-auc-mean

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 10, row 'LucaOne (D17.6M)', column 'AUC' (Mean ± Std)
Configuration: LucaOne (D36.0M) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), WT-LLR, AUC (mean over assays)
Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)
0.568±0.058 AUROC (WT-LLR; mean over assays)
unitless · higher

Uncertainty: SD 0.058

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

LucaOne (D36.0M) zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, AUC, mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t10-auc-mean

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 10, row 'LucaOne (D36.0M)', column 'AUC' (Mean ± Std)
Configuration: LucaOne (G36.8M) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), WT-LLR, AUC (mean over assays)
Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)
0.563±0.053 AUROC (WT-LLR; mean over assays)
unitless · higher

Uncertainty: SD 0.053

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

LucaOne (G36.8M) zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, AUC, mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t10-auc-mean

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 10, row 'LucaOne (G36.8M)', column 'AUC' (Mean ± Std)
Configuration: MP-RNA (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), WT-LLR, AUC (mean over assays)
Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)
0.617±0.076 AUROC (WT-LLR; mean over assays)
unitless · higher

Uncertainty: SD 0.076

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MP-RNA zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, AUC, mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t10-auc-mean

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 10, row 'MP-RNA', column 'AUC' (Mean ± Std)
Configuration: PlantRNA-FM (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), WT-LLR, AUC (mean over assays)
Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)
0.593±0.071 AUROC (WT-LLR; mean over assays)
unitless · higher

Uncertainty: SD 0.071

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

PlantRNA-FM zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, AUC, mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t10-auc-mean

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 10, row 'PlantRNA-FM', column 'AUC' (Mean ± Std)
Configuration: ProtRNA (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), WT-LLR, AUC (mean over assays)
Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)
0.553±0.037 AUROC (WT-LLR; mean over assays)
unitless · higher

Uncertainty: SD 0.037

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

ProtRNA zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, AUC, mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t10-auc-mean

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 10, row 'ProtRNA', column 'AUC' (Mean ± Std)
Configuration: RiNALMo (giga) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), WT-LLR, AUC (mean over assays)
Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)
0.587±0.079 AUROC (WT-LLR; mean over assays)
unitless · higher

Uncertainty: SD 0.079

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

RiNALMo (giga) zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, AUC, mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t10-auc-mean

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 10, row 'RiNALMo (giga)', column 'AUC' (Mean ± Std)
Configuration: RiNALMo (mega) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), WT-LLR, AUC (mean over assays)
Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)
0.588±0.073 AUROC (WT-LLR; mean over assays)
unitless · higher

Uncertainty: SD 0.073

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

RiNALMo (mega) zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, AUC, mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t10-auc-mean

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 10, row 'RiNALMo (mega)', column 'AUC' (Mean ± Std)
Configuration: RiNALMo (micro) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), WT-LLR, AUC (mean over assays)
Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)
0.586±0.076 AUROC (WT-LLR; mean over assays)
unitless · higher

Uncertainty: SD 0.076

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

RiNALMo (micro) zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, AUC, mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t10-auc-mean

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 10, row 'RiNALMo (micro)', column 'AUC' (Mean ± Std)
Configuration: RNA-FM (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), WT-LLR, AUC (mean over assays)
Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)
0.609±0.081 AUROC (WT-LLR; mean over assays)
unitless · higher

Uncertainty: SD 0.081

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

RNA-FM zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, AUC, mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t10-auc-mean

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 10, row 'RNA-FM', column 'AUC' (Mean ± Std)
Configuration: RNABERT (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), WT-LLR, AUC (mean over assays)
Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)
0.549±0.046 AUROC (WT-LLR; mean over assays)
unitless · higher

Uncertainty: SD 0.046

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

RNABERT zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, AUC, mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t10-auc-mean

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 10, row 'RNABERT', column 'AUC' (Mean ± Std)
Configuration: RNAErnie (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), WT-LLR, AUC (mean over assays)
Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)
0.581±0.071 AUROC (WT-LLR; mean over assays)
unitless · higher

Uncertainty: SD 0.071

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

RNAErnie zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, AUC, mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t10-auc-mean

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 10, row 'RNAErnie', column 'AUC' (Mean ± Std)
Configuration: SpliceBERT (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), WT-LLR, AUC (mean over assays)
Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)
0.631±0.074 AUROC (WT-LLR; mean over assays)
unitless · higher

Uncertainty: SD 0.074

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceBERT zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, AUC, mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t10-auc-mean

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 10, row 'SpliceBERT', column 'AUC' (Mean ± Std)
Configuration: Uni-RNA (L12) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), WT-LLR, AUC (mean over assays)
Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)
0.582±0.081 AUROC (WT-LLR; mean over assays)
unitless · higher

Uncertainty: SD 0.081

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Uni-RNA (L12) zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, AUC, mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t10-auc-mean

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 10, row 'Uni-RNA (L12)', column 'AUC' (Mean ± Std)
Configuration: Uni-RNA (L16) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), WT-LLR, AUC (mean over assays)
Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)
0.584±0.080 AUROC (WT-LLR; mean over assays)
unitless · higher

Uncertainty: SD 0.080

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Uni-RNA (L16) zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, AUC, mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t10-auc-mean

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 10, row 'Uni-RNA (L16)', column 'AUC' (Mean ± Std)
Configuration: Uni-RNA (L8) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), WT-LLR, AUC (mean over assays)
Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)
0.591±0.076 AUROC (WT-LLR; mean over assays)
unitless · higher

Uncertainty: SD 0.076

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Uni-RNA (L8) zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, AUC, mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t10-auc-mean

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 10, row 'Uni-RNA (L8)', column 'AUC' (Mean ± Std)
Configuration: UTR_LM (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), WT-LLR, AUC (mean over assays)
Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)
0.558±0.049 AUROC (WT-LLR; mean over assays)
unitless · higher

Uncertainty: SD 0.049

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

UTR_LM zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, AUC, mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t10-auc-mean

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 10, row 'UTR_LM', column 'AUC' (Mean ± Std)

Source checking is not independent reproduction. Release 2026-10-22-1b7cf027e4f6.

Methods and evaluation design

Procedure, tasks and evaluated configurations

Recorded evaluations

Each evaluation records what was tested and under which conditions.

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Baseline coverage

Reference methods help show what a model adds beyond simple controls. We track a null control and a conventional method for each protocol.

0 of 2 active baseline roles have published Rewire measurements in this release. Measurements on a selected protocol do not establish coverage of an entire suite.

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External evaluations
22

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Null control

Proposed control: requires review

Protocol-valid seeded random ranking; no fitting on assay labels

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Proposed control: requires review

Established label-free reference with explicitly permitted sequence/MSA inputs

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This is a suggested selection rule, not a validated method or a measured score.

Protocol coverage CSV (gzip) · Model evaluation matrix (gzip) · Source table (gzip) · Release and checksums (gzip)

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Technical metadata and extraction receipts

Stable ID: lit-rna-20261011-rnalm-zeroshot-protocol-t10-auc-mean

areas
rna-transcriptomes
contexts
research
protocol
Zero-shot: wild-type conditioned log-likelihood ratio from token logits. Metric AUC, mean over assays.
version
Wang et al. 2026
metric
auroc
metric direction
higher
unit
unitless
metric qualifier
WT-LLR; mean over assays
source locator
Supplementary Table 10 caption and column 'AUC'; main text Methods
limitations
Zero-shot only; no fine-tuning or task head.; Binarisation for MCC, F1 and AUC in the fitness task is not described in the main text or supplement.
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