rewirebio.iobenchmarks
Dataset

ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)

ArchiveII without long group II introns, made non-redundant at 80% identity with MMseqs2; homology defined at the RNA type level.

Evaluation results

292 evaluations · 292 results. Different protocols are not a single leaderboard.

Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: 3UTRBERT (K3) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), FFT embedding, 1 − OR (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.307±0.005 One minus overlap ratio (FFT embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.005

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K3) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (FFT embedding, 1 − OR, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t7-1-or-sampled-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 7, row '3UTRBERT (K3)', column '1 − OR'
Configuration: 3UTRBERT (K3) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), FFT embedding, AUC (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.623±0.002 AUROC (FFT embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.002

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K3) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (FFT embedding, AUC, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t7-auc-sampled-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 7, row '3UTRBERT (K3)', column 'AUC'
Configuration: 3UTRBERT (K3) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), FFT embedding, F1 (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.667±0.000 F1 (FFT embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.000

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K3) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (FFT embedding, F1, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t7-f1-sampled-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 7, row '3UTRBERT (K3)', column 'F1'
Configuration: 3UTRBERT (K3) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), FFT embedding, MCC (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.015±0.003 MCC (FFT embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.003

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K3) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (FFT embedding, MCC, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t7-mcc-sampled-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 7, row '3UTRBERT (K3)', column 'MCC'
Configuration: 3UTRBERT (K3) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), CLS embedding, 1 − OR (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.291±0.003 One minus overlap ratio (CLS embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.003

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K3) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (CLS embedding, 1 − OR, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t9-1-or-sampled-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 9, row '3UTRBERT (K3)', column '1 − OR'
Configuration: 3UTRBERT (K3) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), CLS embedding, AUC (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.621±0.001 AUROC (CLS embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.001

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K3) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (CLS embedding, AUC, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t9-auc-sampled-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 9, row '3UTRBERT (K3)', column 'AUC'
Configuration: 3UTRBERT (K3) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), CLS embedding, F1 (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.667±0.000 F1 (CLS embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.000

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K3) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (CLS embedding, F1, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t9-f1-sampled-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 9, row '3UTRBERT (K3)', column 'F1'
Configuration: 3UTRBERT (K3) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), CLS embedding, MCC (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.025±0.003 MCC (CLS embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.003

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K3) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (CLS embedding, MCC, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t9-mcc-sampled-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 9, row '3UTRBERT (K3)', column 'MCC'
Configuration: 3UTRBERT (K4) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), FFT embedding, 1 − OR (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.371±0.002 One minus overlap ratio (FFT embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.002

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K4) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (FFT embedding, 1 − OR, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t7-1-or-sampled-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 7, row '3UTRBERT (K4)', column '1 − OR'
Configuration: 3UTRBERT (K4) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), FFT embedding, AUC (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.647±0.001 AUROC (FFT embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.001

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K4) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (FFT embedding, AUC, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t7-auc-sampled-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 7, row '3UTRBERT (K4)', column 'AUC'
Configuration: 3UTRBERT (K4) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), FFT embedding, F1 (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.667±0.000 F1 (FFT embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.000

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K4) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (FFT embedding, F1, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t7-f1-sampled-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 7, row '3UTRBERT (K4)', column 'F1'
Configuration: 3UTRBERT (K4) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), FFT embedding, MCC (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.032±0.001 MCC (FFT embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.001

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K4) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (FFT embedding, MCC, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t7-mcc-sampled-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 7, row '3UTRBERT (K4)', column 'MCC'
Configuration: 3UTRBERT (K4) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), CLS embedding, 1 − OR (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.326±0.003 One minus overlap ratio (CLS embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.003

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K4) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (CLS embedding, 1 − OR, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t9-1-or-sampled-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 9, row '3UTRBERT (K4)', column '1 − OR'
Configuration: 3UTRBERT (K4) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), CLS embedding, AUC (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.640±0.001 AUROC (CLS embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.001

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K4) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (CLS embedding, AUC, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t9-auc-sampled-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 9, row '3UTRBERT (K4)', column 'AUC'
Configuration: 3UTRBERT (K4) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), CLS embedding, F1 (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.667±0.000 F1 (CLS embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.000

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K4) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (CLS embedding, F1, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t9-f1-sampled-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 9, row '3UTRBERT (K4)', column 'F1'
Configuration: 3UTRBERT (K4) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), CLS embedding, MCC (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.003±0.003 MCC (CLS embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.003

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K4) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (CLS embedding, MCC, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t9-mcc-sampled-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 9, row '3UTRBERT (K4)', column 'MCC'
Configuration: 3UTRBERT (K5) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), FFT embedding, 1 − OR (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.243±0.002 One minus overlap ratio (FFT embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.002

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K5) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (FFT embedding, 1 − OR, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t7-1-or-sampled-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 7, row '3UTRBERT (K5)', column '1 − OR'
Configuration: 3UTRBERT (K5) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), FFT embedding, AUC (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.469±0.001 AUROC (FFT embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.001

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K5) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (FFT embedding, AUC, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t7-auc-sampled-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 7, row '3UTRBERT (K5)', column 'AUC'
Configuration: 3UTRBERT (K5) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), FFT embedding, F1 (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.657±0.000 F1 (FFT embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.000

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K5) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (FFT embedding, F1, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t7-f1-sampled-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 7, row '3UTRBERT (K5)', column 'F1'
Configuration: 3UTRBERT (K5) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), FFT embedding, MCC (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.073±0.001 MCC (FFT embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.001

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K5) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (FFT embedding, MCC, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t7-mcc-sampled-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 7, row '3UTRBERT (K5)', column 'MCC'
Configuration: 3UTRBERT (K5) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), CLS embedding, 1 − OR (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.353±0.002 One minus overlap ratio (CLS embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.002

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K5) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (CLS embedding, 1 − OR, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t9-1-or-sampled-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 9, row '3UTRBERT (K5)', column '1 − OR'
Configuration: 3UTRBERT (K5) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), CLS embedding, AUC (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.638±0.000 AUROC (CLS embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.000

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K5) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (CLS embedding, AUC, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t9-auc-sampled-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 9, row '3UTRBERT (K5)', column 'AUC'
Configuration: 3UTRBERT (K5) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), CLS embedding, F1 (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.667±0.000 F1 (CLS embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.000

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K5) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (CLS embedding, F1, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t9-f1-sampled-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 9, row '3UTRBERT (K5)', column 'F1'
Configuration: 3UTRBERT (K5) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), CLS embedding, MCC (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.007±0.004 MCC (CLS embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.004

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K5) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (CLS embedding, MCC, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t9-mcc-sampled-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 9, row '3UTRBERT (K5)', column 'MCC'
Configuration: 3UTRBERT (K6) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot RNA type classification, ArchiveII-Nr (1273 RNAs), FFT embedding, 1 − OR (mean over repeated random samplings of sequence pairs)
Dataset: ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
0.266±0.003 One minus overlap ratio (FFT embedding; mean over random samplings of sequence pairs)
unitless · higher

Uncertainty: SD 0.003

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K6) zero-shot RNA type classification on ArchiveII-Nr (1273 RNAs) (FFT embedding, 1 − OR, sampled-mean)

lit-rna-20261011-rnalm-zeroshot-protocol-t7-1-or-sampled-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 7, row '3UTRBERT (K6)', column '1 − OR'

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

Research readiness

0 of 4 readiness checks met. These checks assess whether the evidence supports a reproducible investigation; a source-checked score alone does not meet them.

Readiness checks, gaps and artifacts

Release 2026-10-22-1b7cf027e4f6 · Evidence verified: Not verified

Evidence incomplete

Replay metrics

Exact outcomes, predictions, identifiers and evaluator are connected.

Missing or unresolved evidence

  • No verified artifact manifest is linked to this exact record.
  • File checksums match the recorded files: not yet verified
  • Predictions are matched to the right samples: not yet verified
  • Score meaning and direction are confirmed: not yet verified
  • Metrics are recomputed from the saved predictions: not yet verified

Verified: Not verified

Evidence incomplete

Investigate discrepancies

Replay evidence includes annotations and an assessment of dependence. Unknown independence permits descriptive analysis only.

Missing or unresolved evidence

  • No verified artifact manifest is linked to this exact record.
  • File checksums match the recorded files: not yet verified
  • Predictions are matched to the right samples: not yet verified
  • Score meaning and direction are confirmed: not yet verified
  • Metrics are recomputed from the saved predictions: not yet verified
  • Sample annotations are recorded: not yet verified
  • Dependence between samples is assessed: not yet verified

Verified: Not verified

Evidence incomplete

Run locally

A pinned recipe describes the inputs, environment and resource requirements.

Missing or unresolved evidence

  • No verified artifact manifest is linked to this exact record.
  • File checksums match the recorded files: not yet verified
  • Predictions are matched to the right samples: not yet verified
  • Score meaning and direction are confirmed: not yet verified
  • A pinned run recipe exists: not yet verified
  • Compute requirements are estimated: not yet verified

Verified: Not verified

Evidence incomplete

Validate independently

Separate data and exposure records support an independent test.

Missing or unresolved evidence

  • No verified artifact manifest is linked to this exact record.
  • File checksums match the recorded files: not yet verified
  • Predictions are matched to the right samples: not yet verified
  • Score meaning and direction are confirmed: not yet verified
  • Independent validation data exist: not yet verified
  • Overlap with training data is checked: not yet verified

Verified: Not verified

Readiness describes the evidence in this release. Availability on your computer is checked separately when an investigation runs. Existing data exposure can prevent independent validation even when files are available.

Artifacts and reproduction

No verified artifact manifest is connected to this record yet. The gaps above identify what is needed before analysis can begin.

Dataset and evaluation context

A dataset supplies biological observations. The evaluation protocol defines how those observations are split, used and scored.

Evidence

Source checking verifies the cited claim or transcription. It does not establish independent reproduction.

Evidence table

Inspect claims, sources and review details

Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.

One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.

5 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-22-1b7cf027e4f6
Property and statementOriginal source and locationReview and provenance
Source location
Main text Methods 'Datasets'; Supplementary Table 2 for ArchiveII
Context-only references
Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning

Original source ↗

Main text Methods 'Datasets'; Supplementary Table 2 for ArchiveII

Version: Briefings in Bioinformatics 2026, bbag098 (issue date 2026-03-01); PMC12963973 full-text XML
Retrieved: 2026-10-11T21:27:04Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.source_locator

Source artifact SHA-256: 835b64d52ae892cad113e798b2976c398dc9ed12178f675e0eabd2169f533808

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Split
Whole dataset (zero-shot)
Context-only references
Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning

Original source ↗

Main text Methods 'Datasets'; Supplementary Table 2 for ArchiveII

Version: Briefings in Bioinformatics 2026, bbag098 (issue date 2026-03-01); PMC12963973 full-text XML
Retrieved: 2026-10-11T21:27:04Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.split

Source artifact SHA-256: 835b64d52ae892cad113e798b2976c398dc9ed12178f675e0eabd2169f533808

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Version
As constructed by Wang et al. 2026 (Zenodo record 18218776)
Context-only references
Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning

Original source ↗

Main text Methods 'Datasets'; Supplementary Table 2 for ArchiveII

Version: Briefings in Bioinformatics 2026, bbag098 (issue date 2026-03-01); PMC12963973 full-text XML
Retrieved: 2026-10-11T21:27:04Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.version

Source artifact SHA-256: 835b64d52ae892cad113e798b2976c398dc9ed12178f675e0eabd2169f533808

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Description
ArchiveII without long group II introns, made non-redundant at 80% identity with MMseqs2; homology defined at the RNA type level.
Context-only references
Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning

Original source ↗

Main text Methods 'Datasets'; Supplementary Table 2 for ArchiveII

Version: Briefings in Bioinformatics 2026, bbag098 (issue date 2026-03-01); PMC12963973 full-text XML
Retrieved: 2026-10-11T21:27:04Z

not individually reviewed

No individual claim review recorded

Audit details

Field: description

Source artifact SHA-256: 835b64d52ae892cad113e798b2976c398dc9ed12178f675e0eabd2169f533808

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Name
ArchiveII-Nr (1273 RNAs) (Wang et al. 2026)
Context-only references
Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning

Original source ↗

Main text Methods 'Datasets'; Supplementary Table 2 for ArchiveII

Version: Briefings in Bioinformatics 2026, bbag098 (issue date 2026-03-01); PMC12963973 full-text XML
Retrieved: 2026-10-11T21:27:04Z

not individually reviewed

No individual claim review recorded

Audit details

Field: name

Source artifact SHA-256: 835b64d52ae892cad113e798b2976c398dc9ed12178f675e0eabd2169f533808

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Sources and history

Release 2026-10-22-1b7cf027e4f6 · Record review: source checked

1 source record and release historyDownload this release (gzip)
Technical metadata and extraction receipts

Stable ID: lit-rna-20261011-rnalm-zeroshot-data-archiveii-nr

areas
rna-transcriptomes
contexts
research
version
As constructed by Wang et al. 2026 (Zenodo record 18218776)
split
Whole dataset (zero-shot)
source locator
Main text Methods 'Datasets'; Supplementary Table 2 for ArchiveII
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