rewirebio.iobenchmarks
Dataset subset

ClinVar stop-gains expected to undergo NMD (Brandes et al. 2023)

Stop-gain variants for which the 50 bp rule predicts nonsense-mediated decay: 32,362 pathogenic and 198 benign in the Fig. 6d legend (32,441 pathogenic in the Methods).

Evaluation results

3 evaluations · 3 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: ESM1b minimum-LLR stop-gain score (Brandes et al. 2023)Protocol: ClinVar stop-gain pathogenicity by NMD status, ROC-AUC (Brandes et al. 2023 Fig. 6d, Supplementary Table 2)
Dataset subset: ClinVar stop-gains expected to undergo NMD (Brandes et al. 2023)
0.566 AUROC (ROC-AUC, pathogenic versus benign ClinVar stop-gains expected to undergo NMD (50 bp rule); zero-shot)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

ESM1b-minLLR on stop-gains expected to undergo NMD (50 bp rule) (Brandes et al. 2023)

gfm-guides-20261014-esm1b-protocol-clinvar-stop-gains

Aggregation: Not reported

Brandes et al. 2023 Supplementary Table 2: full benchmark evaluations of ESM1b and all other methods · Supplementary Table 2 sheet 'Table_of_results_stop_gains' cell C2, row 'ESM1b-minLLR', column 'AUC_NMD'
Method: Number of residues lost (stop-gain baseline)Protocol: ClinVar stop-gain pathogenicity by NMD status, ROC-AUC (Brandes et al. 2023 Fig. 6d, Supplementary Table 2)
Dataset subset: ClinVar stop-gains expected to undergo NMD (Brandes et al. 2023)
0.59 AUROC (ROC-AUC, pathogenic versus benign ClinVar stop-gains expected to undergo NMD (50 bp rule); zero-shot)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

num. AA lost on stop-gains expected to undergo NMD (50 bp rule) (Brandes et al. 2023)

gfm-guides-20261014-esm1b-protocol-clinvar-stop-gains

Aggregation: Not reported

Brandes et al. 2023 Supplementary Table 2: full benchmark evaluations of ESM1b and all other methods · Supplementary Table 2 sheet 'Table_of_results_stop_gains' cell C3, row 'num. AA lost', column 'AUC_NMD'
Method: Percentage of residues lost (stop-gain baseline)Protocol: ClinVar stop-gain pathogenicity by NMD status, ROC-AUC (Brandes et al. 2023 Fig. 6d, Supplementary Table 2)
Dataset subset: ClinVar stop-gains expected to undergo NMD (Brandes et al. 2023)
0.452 AUROC (ROC-AUC, pathogenic versus benign ClinVar stop-gains expected to undergo NMD (50 bp rule); zero-shot)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

pct. AA lost on stop-gains expected to undergo NMD (50 bp rule) (Brandes et al. 2023)

gfm-guides-20261014-esm1b-protocol-clinvar-stop-gains

Aggregation: Not reported

Brandes et al. 2023 Supplementary Table 2: full benchmark evaluations of ESM1b and all other methods · Supplementary Table 2 sheet 'Table_of_results_stop_gains' cell C4, row 'pct. AA lost', column 'AUC_NMD'

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.

Subset and evaluation context

This record describes a particular subset or cohort used in an evaluation. Its results do not describe the full dataset.

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.

18 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 dataset label
ClinVar stop-gains
Context-only references
Genome-wide prediction of disease variant effects with a deep protein language model (Brandes et al., Nature Genetics 2023)

Original source ↗

Supplementary Table 2 'Contents', column AUC_NMD; Fig. 6d legend; Methods 'AUC metrics for pathogenicity classification', paragraph on bootstrapping the stop-gain ROC-AUC

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: Version of record, Nature Genetics 55, 1512-1522 (published 2023-08-10)
Retrieved: 2026-10-14T12:03:14Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.source_dataset_label

Source artifact SHA-256: 919ca366369efbe7e0880565192de127375edddedb1aa43ad023dec612bb4a04

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

Archive member: artifacts/brandes2023-pmc10484790.xml.gz

Inspected artifact

Source dataset label
ClinVar stop-gains
Context-only references
Brandes et al. 2023 Supplementary Information (Supplementary Table 1 and Methods)

Original source ↗

Supplementary Table 2 'Contents', column AUC_NMD; Fig. 6d legend; Methods 'AUC metrics for pathogenicity classification', paragraph on bootstrapping the stop-gain ROC-AUC

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: Version of record, Nature Genetics 55, 1512-1522 (published 2023-08-10)
Retrieved: 2026-10-14T12:03:21Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.source_dataset_label

Source artifact SHA-256: 30f1c2713875c7cec40f0beee19864840bc55326ddf68918841f93f8bb897c2a

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

Archive member: artifacts/brandes2023-supplementary-information.pdf.gz

Inspected artifact

Source dataset label
ClinVar stop-gains
Context-only references
Brandes et al. 2023 Supplementary Table 2: full benchmark evaluations of ESM1b and all other methods

Original source ↗

Supplementary Table 2 'Contents', column AUC_NMD; Fig. 6d legend; Methods 'AUC metrics for pathogenicity classification', paragraph on bootstrapping the stop-gain ROC-AUC

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: Version of record, Nature Genetics 55, 1512-1522 (published 2023-08-10)
Retrieved: 2026-10-14T12:03:21Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.source_dataset_label

Source artifact SHA-256: 093c32e4156a801c0dd809a437c87818a4f1d04df92e037cf40222471a3e72e2

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

Archive member: artifacts/brandes2023-supplementary-table-2.xlsx.gz

Inspected artifact

Source location
Supplementary Table 2 'Contents', column AUC_NMD; Fig. 6d legend; Methods 'AUC metrics for pathogenicity classification', paragraph on bootstrapping the stop-gain ROC-AUC
Context-only references
Genome-wide prediction of disease variant effects with a deep protein language model (Brandes et al., Nature Genetics 2023)

Original source ↗

Supplementary Table 2 'Contents', column AUC_NMD; Fig. 6d legend; Methods 'AUC metrics for pathogenicity classification', paragraph on bootstrapping the stop-gain ROC-AUC

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: Version of record, Nature Genetics 55, 1512-1522 (published 2023-08-10)
Retrieved: 2026-10-14T12:03:14Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.source_locator

Source artifact SHA-256: 919ca366369efbe7e0880565192de127375edddedb1aa43ad023dec612bb4a04

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

Archive member: artifacts/brandes2023-pmc10484790.xml.gz

Inspected artifact

Source location
Supplementary Table 2 'Contents', column AUC_NMD; Fig. 6d legend; Methods 'AUC metrics for pathogenicity classification', paragraph on bootstrapping the stop-gain ROC-AUC
Context-only references
Brandes et al. 2023 Supplementary Information (Supplementary Table 1 and Methods)

Original source ↗

Supplementary Table 2 'Contents', column AUC_NMD; Fig. 6d legend; Methods 'AUC metrics for pathogenicity classification', paragraph on bootstrapping the stop-gain ROC-AUC

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: Version of record, Nature Genetics 55, 1512-1522 (published 2023-08-10)
Retrieved: 2026-10-14T12:03:21Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.source_locator

Source artifact SHA-256: 30f1c2713875c7cec40f0beee19864840bc55326ddf68918841f93f8bb897c2a

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

Archive member: artifacts/brandes2023-supplementary-information.pdf.gz

Inspected artifact

Source location
Supplementary Table 2 'Contents', column AUC_NMD; Fig. 6d legend; Methods 'AUC metrics for pathogenicity classification', paragraph on bootstrapping the stop-gain ROC-AUC
Context-only references
Brandes et al. 2023 Supplementary Table 2: full benchmark evaluations of ESM1b and all other methods

Original source ↗

Supplementary Table 2 'Contents', column AUC_NMD; Fig. 6d legend; Methods 'AUC metrics for pathogenicity classification', paragraph on bootstrapping the stop-gain ROC-AUC

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: Version of record, Nature Genetics 55, 1512-1522 (published 2023-08-10)
Retrieved: 2026-10-14T12:03:21Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.source_locator

Source artifact SHA-256: 093c32e4156a801c0dd809a437c87818a4f1d04df92e037cf40222471a3e72e2

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

Archive member: artifacts/brandes2023-supplementary-table-2.xlsx.gz

Inspected artifact

Split
Whole labelled set; no training on labels
Context-only references
Genome-wide prediction of disease variant effects with a deep protein language model (Brandes et al., Nature Genetics 2023)

Original source ↗

Supplementary Table 2 'Contents', column AUC_NMD; Fig. 6d legend; Methods 'AUC metrics for pathogenicity classification', paragraph on bootstrapping the stop-gain ROC-AUC

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: Version of record, Nature Genetics 55, 1512-1522 (published 2023-08-10)
Retrieved: 2026-10-14T12:03:14Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.split

Source artifact SHA-256: 919ca366369efbe7e0880565192de127375edddedb1aa43ad023dec612bb4a04

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

Archive member: artifacts/brandes2023-pmc10484790.xml.gz

Inspected artifact

Split
Whole labelled set; no training on labels
Context-only references
Brandes et al. 2023 Supplementary Information (Supplementary Table 1 and Methods)

Original source ↗

Supplementary Table 2 'Contents', column AUC_NMD; Fig. 6d legend; Methods 'AUC metrics for pathogenicity classification', paragraph on bootstrapping the stop-gain ROC-AUC

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: Version of record, Nature Genetics 55, 1512-1522 (published 2023-08-10)
Retrieved: 2026-10-14T12:03:21Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.split

Source artifact SHA-256: 30f1c2713875c7cec40f0beee19864840bc55326ddf68918841f93f8bb897c2a

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

Archive member: artifacts/brandes2023-supplementary-information.pdf.gz

Inspected artifact

Split
Whole labelled set; no training on labels
Context-only references
Brandes et al. 2023 Supplementary Table 2: full benchmark evaluations of ESM1b and all other methods

Original source ↗

Supplementary Table 2 'Contents', column AUC_NMD; Fig. 6d legend; Methods 'AUC metrics for pathogenicity classification', paragraph on bootstrapping the stop-gain ROC-AUC

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: Version of record, Nature Genetics 55, 1512-1522 (published 2023-08-10)
Retrieved: 2026-10-14T12:03:21Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.split

Source artifact SHA-256: 093c32e4156a801c0dd809a437c87818a4f1d04df92e037cf40222471a3e72e2

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

Archive member: artifacts/brandes2023-supplementary-table-2.xlsx.gz

Inspected artifact

Subset scope
Stop-gain variants for which the 50 bp rule predicts nonsense-mediated decay: 32,362 pathogenic and 198 benign in the Fig. 6d legend (32,441 pathogenic in the Methods).
Context-only references
Genome-wide prediction of disease variant effects with a deep protein language model (Brandes et al., Nature Genetics 2023)

Original source ↗

Supplementary Table 2 'Contents', column AUC_NMD; Fig. 6d legend; Methods 'AUC metrics for pathogenicity classification', paragraph on bootstrapping the stop-gain ROC-AUC

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: Version of record, Nature Genetics 55, 1512-1522 (published 2023-08-10)
Retrieved: 2026-10-14T12:03:14Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.subset_scope

Source artifact SHA-256: 919ca366369efbe7e0880565192de127375edddedb1aa43ad023dec612bb4a04

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

Archive member: artifacts/brandes2023-pmc10484790.xml.gz

Inspected artifact

How to read the evidence

Sources and history

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

3 source records and release historyDownload this release (gzip)
Technical metadata and extraction receipts

Stable ID: gfm-guides-20261014-esm1b-data-clinvar-stop-gains-nmd

areas
dna-genomes; protein-function
contexts
clinical_research
split
Whole labelled set; no training on labels
subset scope
Stop-gain variants for which the 50 bp rule predicts nonsense-mediated decay: 32,362 pathogenic and 198 benign in the Fig. 6d legend (32,441 pathogenic in the Methods).
source dataset label
ClinVar stop-gains
source locator
Supplementary Table 2 'Contents', column AUC_NMD; Fig. 6d legend; Methods 'AUC metrics for pathogenicity classification', paragraph on bootstrapping the stop-gain ROC-AUC
missing metadata
scored count: reason: conflicting; note: 32,560 by the Fig. 6d legend, 32,639 by the Methods; the workbook values fit the Methods count (see the parent dataset's denominator_warning); version: reason: inapplicable; note: Subset of the parent dataset
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