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

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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.

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Results

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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, MCC (mean over assays) · Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)

Sorted by MCC (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.

Tested configuration	MCC (WT-LLR; mean over assays)
SpliceBERT (zero-shot, Wang et al. 2026)Evaluation	0.194±0.109 (best in column)
DGRNA (zero-shot, Wang et al. 2026)Evaluation	0.176±0.116
AIDO.RNA (1.6B) (zero-shot, Wang et al. 2026)Evaluation	0.171±0.115
RNA-FM (zero-shot, Wang et al. 2026)Evaluation	0.168±0.125
MP-RNA (zero-shot, Wang et al. 2026)Evaluation	0.165±0.105
AIDO.RNA (650M) (zero-shot, Wang et al. 2026)Evaluation	0.152±0.126
Uni-RNA (L8) (zero-shot, Wang et al. 2026)Evaluation	0.149±0.102
PlantRNA-FM (zero-shot, Wang et al. 2026)Evaluation	0.141±0.098
RiNALMo (mega) (zero-shot, Wang et al. 2026)Evaluation	0.141±0.108
Uni-RNA (L16) (zero-shot, Wang et al. 2026)Evaluation	0.140±0.113
Uni-RNA (L12) (zero-shot, Wang et al. 2026)Evaluation	0.138±0.117
RiNALMo (giga) (zero-shot, Wang et al. 2026)Evaluation	0.137±0.118
RiNALMo (micro) (zero-shot, Wang et al. 2026)Evaluation	0.137±0.112
RNAErnie (zero-shot, Wang et al. 2026)Evaluation	0.125±0.105
LAMAR (4k) (zero-shot, Wang et al. 2026)Evaluation	0.104±0.086
LucaOne (D36.0M) (zero-shot, Wang et al. 2026)Evaluation	0.097±0.086
LucaOne (G36.8M) (zero-shot, Wang et al. 2026)Evaluation	0.089±0.077
LucaOne (D17.6M) (zero-shot, Wang et al. 2026)Evaluation	0.087±0.077
UTR_LM (zero-shot, Wang et al. 2026)Evaluation	0.084±0.066
ProtRNA (zero-shot, Wang et al. 2026)Evaluation	0.074±0.057
LAMAR (2k) (zero-shot, Wang et al. 2026)Evaluation	0.072±0.059
RNABERT (zero-shot, Wang et al. 2026)Evaluation	0.071±0.067

All 22 result rows with coverage, uncertainty and sources

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Tested model or methodProtocolDatasetEvaluation setupMetricEvidence origin

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Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence 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, MCC (mean over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.171±0.115 MCC (WT-LLR; mean over assays) unitless · higher Uncertainty: SD 0.115 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, MCC, mean) lit-rna-20261011-rnalm-zeroshot-protocol-t10-mcc-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 'MCC' (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, MCC (mean over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.152±0.126 MCC (WT-LLR; mean over assays) unitless · higher Uncertainty: SD 0.126 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, MCC, mean) lit-rna-20261011-rnalm-zeroshot-protocol-t10-mcc-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 'MCC' (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, MCC (mean over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.176±0.116 MCC (WT-LLR; mean over assays) unitless · higher Uncertainty: SD 0.116 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, MCC, mean) lit-rna-20261011-rnalm-zeroshot-protocol-t10-mcc-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 'MCC' (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, MCC (mean over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.072±0.059 MCC (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 (2k) zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, MCC, mean) lit-rna-20261011-rnalm-zeroshot-protocol-t10-mcc-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 'MCC' (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, MCC (mean over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.104±0.086 MCC (WT-LLR; mean over assays) unitless · higher Uncertainty: SD 0.086 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, MCC, mean) lit-rna-20261011-rnalm-zeroshot-protocol-t10-mcc-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 'MCC' (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, MCC (mean over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.087±0.077 MCC (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 LucaOne (D17.6M) zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, MCC, mean) lit-rna-20261011-rnalm-zeroshot-protocol-t10-mcc-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 'MCC' (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, MCC (mean over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.097±0.086 MCC (WT-LLR; mean over assays) unitless · higher Uncertainty: SD 0.086 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, MCC, mean) lit-rna-20261011-rnalm-zeroshot-protocol-t10-mcc-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 'MCC' (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, MCC (mean over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.089±0.077 MCC (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 LucaOne (G36.8M) zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (WT-LLR, MCC, mean) lit-rna-20261011-rnalm-zeroshot-protocol-t10-mcc-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 'MCC' (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, MCC (mean over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.165±0.105 MCC (WT-LLR; mean over assays) unitless · higher Uncertainty: SD 0.105 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, MCC, mean) lit-rna-20261011-rnalm-zeroshot-protocol-t10-mcc-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 'MCC' (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, MCC (mean over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.141±0.098 MCC (WT-LLR; mean over assays) unitless · higher Uncertainty: SD 0.098 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, MCC, mean) lit-rna-20261011-rnalm-zeroshot-protocol-t10-mcc-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 'MCC' (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, MCC (mean over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.074±0.057 MCC (WT-LLR; mean over assays) unitless · higher Uncertainty: SD 0.057 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, MCC, mean) lit-rna-20261011-rnalm-zeroshot-protocol-t10-mcc-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 'MCC' (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, MCC (mean over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.137±0.118 MCC (WT-LLR; mean over assays) unitless · higher Uncertainty: SD 0.118 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, MCC, mean) lit-rna-20261011-rnalm-zeroshot-protocol-t10-mcc-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 'MCC' (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, MCC (mean over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.141±0.108 MCC (WT-LLR; mean over assays) unitless · higher Uncertainty: SD 0.108 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, MCC, mean) lit-rna-20261011-rnalm-zeroshot-protocol-t10-mcc-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 'MCC' (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, MCC (mean over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.137±0.112 MCC (WT-LLR; mean over assays) unitless · higher Uncertainty: SD 0.112 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, MCC, mean) lit-rna-20261011-rnalm-zeroshot-protocol-t10-mcc-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 'MCC' (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, MCC (mean over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.168±0.125 MCC (WT-LLR; mean over assays) unitless · higher Uncertainty: SD 0.125 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, MCC, mean) lit-rna-20261011-rnalm-zeroshot-protocol-t10-mcc-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 'MCC' (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, MCC (mean over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.071±0.067 MCC (WT-LLR; mean over assays) unitless · higher Uncertainty: SD 0.067 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, MCC, mean) lit-rna-20261011-rnalm-zeroshot-protocol-t10-mcc-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 'MCC' (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, MCC (mean over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.125±0.105 MCC (WT-LLR; mean over assays) unitless · higher Uncertainty: SD 0.105 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, MCC, mean) lit-rna-20261011-rnalm-zeroshot-protocol-t10-mcc-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 'MCC' (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, MCC (mean over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.194±0.109 MCC (WT-LLR; mean over assays) unitless · higher Uncertainty: SD 0.109 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, MCC, mean) lit-rna-20261011-rnalm-zeroshot-protocol-t10-mcc-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 'MCC' (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, MCC (mean over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.138±0.117 MCC (WT-LLR; mean over assays) unitless · higher Uncertainty: SD 0.117 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, MCC, mean) lit-rna-20261011-rnalm-zeroshot-protocol-t10-mcc-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 'MCC' (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, MCC (mean over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.140±0.113 MCC (WT-LLR; mean over assays) unitless · higher Uncertainty: SD 0.113 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, MCC, mean) lit-rna-20261011-rnalm-zeroshot-protocol-t10-mcc-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 'MCC' (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, MCC (mean over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.149±0.102 MCC (WT-LLR; mean over assays) unitless · higher Uncertainty: SD 0.102 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, MCC, mean) lit-rna-20261011-rnalm-zeroshot-protocol-t10-mcc-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 'MCC' (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, MCC (mean over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.084±0.066 MCC (WT-LLR; mean over assays) unitless · higher Uncertainty: SD 0.066 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, MCC, mean) lit-rna-20261011-rnalm-zeroshot-protocol-t10-mcc-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 'MCC' (Mean ± Std)

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Zero-shot benchmarking of RNA language models: Supplementary Information · Original source · bbag098_supplymentary_information_20260209.docx from the Europe PMC supplementary files archive for PMC12963973
Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Original source · Briefings in Bioinformatics 2026, bbag098 (issue date 2026-03-01); PMC12963973 full-text XML

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

areas: rna-transcriptomes
contexts: research
protocol: Zero-shot: wild-type conditioned log-likelihood ratio from token logits. Metric MCC, mean over assays.
version: Wang et al. 2026
metric: matthews-correlation-coefficient
metric direction: higher
unit: unitless
metric qualifier: WT-LLR; mean over assays
source locator: Supplementary Table 10 caption and column 'MCC'; 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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