rewirebio.iobenchmarks
Evaluation

Gena LM bigbird on HeLa reporter variant effects

Published comparison; transcribed, not reproduced.

Research readiness

These checks assess whether the evidence supports a reproducible investigation. A source-checked score alone does not meet these requirements.

Release 2026-10-10-6e93f504adfc · Evidence verified: Not verified

Evidence incomplete

Replay metrics

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Verified: Not verified

Evidence incomplete

Investigate discrepancies

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  • dependence: verification is missing

Verified: Not verified

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Run locally

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

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Evaluation results

1 evaluation · 1 result. Different protocols are not a single leaderboard.

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Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: Gena LM bigbird (Manzo et al. 2025)Protocol: Allelic reporter effect correlation in HeLa (Manzo et al. 2025 Table 1)
Dataset: HeLa regulatory variant reporter data (Manzo et al. 2025)
0.045 pearson-correlation
unitless · higher

Uncertainty: SE 0.015. Standard error as printed in brackets; its basis is not defined in the caption

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Gena LM bigbird on HeLa reporter variant effects

regulatory-variant-20261009-protocol-manzo2025-hela-pearson

Aggregation: Not reported

Comparative Analysis of Deep Learning Models for Predicting Causative Regulatory Variants · Table 1 row 'Gena LM bigbird', column 'Hela (5241 SNPs)'

Source checking is not independent reproduction. Release 2026-10-10-6e93f504adfc.

Evaluation procedure

regulatory-variant-20261009-protocol-manzo2025-hela-pearson

Configuration
Gena LM bigbird (Manzo et al. 2025)
Protocol
Allelic reporter effect correlation in HeLa (Manzo et al. 2025 Table 1)
Dataset
HeLa regulatory variant reporter data (Manzo et al. 2025)
origin
Independent external evaluation
configuration
Primary source as retrieved 2026-10-09
dataset version
As published
split
Per cell line
population
5241 SNPs
inputs
1 kb reference and alternative sequences centred on the SNP
adaptation
Fine-tuned per cell line for enhancer versus control classification on 1 kb sequences (Table 2); variant effect is the log2 ratio of alternative to reference scores
metric implementation
Pearson correlation of predicted and measured log2 fold-change
aggregation
As printed per cell line
budget
Not reported
protocol id
regulatory-variant-20261009-protocol-manzo2025-hela-pearson

Metadata review: source checked. Unreported conditions prevent automatic comparisons.

Reproduction

Split
Per cell line
Adaptation
Fine-tuned per cell line for enhancer versus control classification on 1 kb sequences (Table 2); variant effect is the log2 ratio of alternative to reference scores
Scoring implementation
Pearson correlation of predicted and measured log2 fold-change

No execution recipe has been verified for this exact configuration and evaluation. A benchmark's general instructions may use different inputs, splits or model settings.

Reproducing this published result requires matching its model configuration, data, split and scorer. Source checking or a successful smoke test does not establish score reproduction.

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 2026-10-10-6e93f504adfc
Property and statementOriginal source and locationReview and provenance
attributes.comparison.adaptation
Fine-tuned per cell line for enhancer versus control classification on 1 kb sequences (Table 2); variant effect is the log2 ratio of alternative to reference scores
Context-only references
Comparative Analysis of Deep Learning Models for Predicting Causative Regulatory Variants

Original source ↗

Table 1 row 'Gena LM bigbird', column 'Hela (5241 SNPs)'

Version: Genes 16(10):1223, published 2025-10-15; PMC12562713 full-text XML
Retrieved: 2026-10-09T21:04:27Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.adaptation

Source artifact SHA-256: c49e7cef821d7c1a7966db9922b58c2f51d852df13f5cdc3969bf54818e5ed9e

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

Inspected artifact

attributes.comparison.aggregation
As printed per cell line
Context-only references
Comparative Analysis of Deep Learning Models for Predicting Causative Regulatory Variants

Original source ↗

Table 1 row 'Gena LM bigbird', column 'Hela (5241 SNPs)'

Version: Genes 16(10):1223, published 2025-10-15; PMC12562713 full-text XML
Retrieved: 2026-10-09T21:04:27Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.aggregation

Source artifact SHA-256: c49e7cef821d7c1a7966db9922b58c2f51d852df13f5cdc3969bf54818e5ed9e

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

Inspected artifact

attributes.comparison.budget
Not reported
Context-only references
Comparative Analysis of Deep Learning Models for Predicting Causative Regulatory Variants

Original source ↗

Table 1 row 'Gena LM bigbird', column 'Hela (5241 SNPs)'

Version: Genes 16(10):1223, published 2025-10-15; PMC12562713 full-text XML
Retrieved: 2026-10-09T21:04:27Z

missing or unspecified

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.budget

Source artifact SHA-256: c49e7cef821d7c1a7966db9922b58c2f51d852df13f5cdc3969bf54818e5ed9e

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

Inspected artifact

attributes.comparison.dataset_version
As published
Context-only references
Comparative Analysis of Deep Learning Models for Predicting Causative Regulatory Variants

Original source ↗

Table 1 row 'Gena LM bigbird', column 'Hela (5241 SNPs)'

Version: Genes 16(10):1223, published 2025-10-15; PMC12562713 full-text XML
Retrieved: 2026-10-09T21:04:27Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.dataset_version

Source artifact SHA-256: c49e7cef821d7c1a7966db9922b58c2f51d852df13f5cdc3969bf54818e5ed9e

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

Inspected artifact

attributes.comparison.inputs
1 kb reference and alternative sequences centred on the SNP
Context-only references
Comparative Analysis of Deep Learning Models for Predicting Causative Regulatory Variants

Original source ↗

Table 1 row 'Gena LM bigbird', column 'Hela (5241 SNPs)'

Version: Genes 16(10):1223, published 2025-10-15; PMC12562713 full-text XML
Retrieved: 2026-10-09T21:04:27Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.inputs

Source artifact SHA-256: c49e7cef821d7c1a7966db9922b58c2f51d852df13f5cdc3969bf54818e5ed9e

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

Inspected artifact

attributes.comparison.metric_implementation
Pearson correlation of predicted and measured log2 fold-change
Context-only references
Comparative Analysis of Deep Learning Models for Predicting Causative Regulatory Variants

Original source ↗

Table 1 row 'Gena LM bigbird', column 'Hela (5241 SNPs)'

Version: Genes 16(10):1223, published 2025-10-15; PMC12562713 full-text XML
Retrieved: 2026-10-09T21:04:27Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.metric_implementation

Source artifact SHA-256: c49e7cef821d7c1a7966db9922b58c2f51d852df13f5cdc3969bf54818e5ed9e

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

Inspected artifact

attributes.comparison.population
5241 SNPs
Context-only references
Comparative Analysis of Deep Learning Models for Predicting Causative Regulatory Variants

Original source ↗

Table 1 row 'Gena LM bigbird', column 'Hela (5241 SNPs)'

Version: Genes 16(10):1223, published 2025-10-15; PMC12562713 full-text XML
Retrieved: 2026-10-09T21:04:27Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.population

Source artifact SHA-256: c49e7cef821d7c1a7966db9922b58c2f51d852df13f5cdc3969bf54818e5ed9e

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

Inspected artifact

attributes.comparison.protocol_id
regulatory-variant-20261009-protocol-manzo2025-hela-pearson
Context-only references
Comparative Analysis of Deep Learning Models for Predicting Causative Regulatory Variants

Original source ↗

Table 1 row 'Gena LM bigbird', column 'Hela (5241 SNPs)'

Version: Genes 16(10):1223, published 2025-10-15; PMC12562713 full-text XML
Retrieved: 2026-10-09T21:04:27Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.protocol_id

Source artifact SHA-256: c49e7cef821d7c1a7966db9922b58c2f51d852df13f5cdc3969bf54818e5ed9e

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

Inspected artifact

attributes.comparison.split
Per cell line
Context-only references
Comparative Analysis of Deep Learning Models for Predicting Causative Regulatory Variants

Original source ↗

Table 1 row 'Gena LM bigbird', column 'Hela (5241 SNPs)'

Version: Genes 16(10):1223, published 2025-10-15; PMC12562713 full-text XML
Retrieved: 2026-10-09T21:04:27Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.split

Source artifact SHA-256: c49e7cef821d7c1a7966db9922b58c2f51d852df13f5cdc3969bf54818e5ed9e

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

Inspected artifact

attributes.origin
independent_paper
Context-only references
Comparative Analysis of Deep Learning Models for Predicting Causative Regulatory Variants

Original source ↗

Table 1 row 'Gena LM bigbird', column 'Hela (5241 SNPs)'

Version: Genes 16(10):1223, published 2025-10-15; PMC12562713 full-text XML
Retrieved: 2026-10-09T21:04:27Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.origin

Source artifact SHA-256: c49e7cef821d7c1a7966db9922b58c2f51d852df13f5cdc3969bf54818e5ed9e

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

Inspected artifact

Sources and history

Release 2026-10-10-6e93f504adfc · Record review: source checked

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

Stable ID: regulatory-variant-20261009-eval-manzo2025-hela-gena-lm-bigbird

areas
dna-genomes
contexts
research
origin
independent_paper
protocol
regulatory-variant-20261009-protocol-manzo2025-hela-pearson
version
Primary source as retrieved 2026-10-09
comparison
dataset version: As published; split: Per cell line; population: 5241 SNPs; inputs: 1 kb reference and alternative sequences centred on the SNP; adaptation: Fine-tuned per cell line for enhancer versus control classification on 1 kb sequences (Table 2); variant effect is the log2 ratio of alternative to reference scores; metric implementation: Pearson correlation of predicted and measured log2 fold-change; aggregation: As printed per cell line; budget: Not reported; protocol id: regulatory-variant-20261009-protocol-manzo2025-hela-pearson
source locator
Table 1 row 'Gena LM bigbird', column 'Hela (5241 SNPs)'
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