GENEB leaderboard, full training data, MCC aggregates
GENEB probing of frozen embeddings, full training data regime.
Overview
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Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.
41 recorded evaluations, 615 metric rows. A comparison chart has not yet been validated for these results. The table retains the individual findings and their sources.
Results
Results are available, but no reviewed comparison panel is linked in this release.
All evaluations
41 evaluations · 615 results. Different protocols are not a single leaderboard.
Filter evaluations
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: agro-NT-1b (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | 0.562 MCC (full training data; category 'Chromatin Acc.') unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceagro-NT-1b on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'agro-nucleotide-transformer-1b', key 'cat_MCC.Chromatin Acc.' |
| Configuration: agro-NT-1b (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | 0.792 MCC (full training data; category 'Coding/NC') unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceagro-NT-1b on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'agro-nucleotide-transformer-1b', key 'cat_MCC.Coding/NC' |
| Configuration: agro-NT-1b (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | 0.211 MCC (full training data; category 'DNA Methyl.') unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceagro-NT-1b on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'agro-nucleotide-transformer-1b', key 'cat_MCC.DNA Methyl.' |
| Configuration: agro-NT-1b (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | 0.446 MCC (full training data; category 'Enhancers') unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceagro-NT-1b on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'agro-nucleotide-transformer-1b', key 'cat_MCC.Enhancers' |
| Configuration: agro-NT-1b (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | 0.475 MCC (full training data; category 'Histone Mod.') unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceagro-NT-1b on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'agro-nucleotide-transformer-1b', key 'cat_MCC.Histone Mod.' |
| Configuration: agro-NT-1b (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | 0.336 MCC (full training data; category 'lncRNA') unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceagro-NT-1b on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'agro-nucleotide-transformer-1b', key 'cat_MCC.lncRNA' |
| Configuration: agro-NT-1b (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | 0.497 MCC (full training data; macro average: unweighted mean of the 13 category MCCs) unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceagro-NT-1b on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'agro-nucleotide-transformer-1b', key 'macro_MCC' |
| Configuration: agro-NT-1b (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | 0.496 MCC (full training data; micro average: mean over all 100 tasks) unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceagro-NT-1b on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'agro-nucleotide-transformer-1b', key 'micro_MCC' |
| Configuration: agro-NT-1b (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | 0.418 MCC (full training data; category 'Mouse Enh.') unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceagro-NT-1b on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'agro-nucleotide-transformer-1b', key 'cat_MCC.Mouse Enh.' |
| Configuration: agro-NT-1b (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | 0.693 MCC (full training data; category 'Promoters') unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceagro-NT-1b on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'agro-nucleotide-transformer-1b', key 'cat_MCC.Promoters' |
| Configuration: agro-NT-1b (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | 0.433 MCC (full training data; category 'Regulatory') unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceagro-NT-1b on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'agro-nucleotide-transformer-1b', key 'cat_MCC.Regulatory' |
| Configuration: agro-NT-1b (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | 0.697 MCC (full training data; category 'Species Clf.') unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceagro-NT-1b on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'agro-nucleotide-transformer-1b', key 'cat_MCC.Species Clf.' |
| Configuration: agro-NT-1b (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | 0.455 MCC (full training data; category 'Splice Sites') unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceagro-NT-1b on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'agro-nucleotide-transformer-1b', key 'cat_MCC.Splice Sites' |
| Configuration: agro-NT-1b (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | 0.462 MCC (full training data; category 'TF Binding') unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceagro-NT-1b on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'agro-nucleotide-transformer-1b', key 'cat_MCC.TF Binding' |
| Configuration: agro-NT-1b (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | 0.48 MCC (full training data; category 'Virus/Phage') unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceagro-NT-1b on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'agro-nucleotide-transformer-1b', key 'cat_MCC.Virus/Phage' |
| Configuration: BioFM-265M (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | 0.402 MCC (full training data; category 'Chromatin Acc.') unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceBioFM-265M on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'BioFM-265M', key 'cat_MCC.Chromatin Acc.' |
| Configuration: BioFM-265M (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | 0.783 MCC (full training data; category 'Coding/NC') unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceBioFM-265M on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'BioFM-265M', key 'cat_MCC.Coding/NC' |
| Configuration: BioFM-265M (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | 0.275 MCC (full training data; category 'DNA Methyl.') unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceBioFM-265M on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'BioFM-265M', key 'cat_MCC.DNA Methyl.' |
| Configuration: BioFM-265M (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | 0.275 MCC (full training data; category 'Enhancers') unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceBioFM-265M on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'BioFM-265M', key 'cat_MCC.Enhancers' |
| Configuration: BioFM-265M (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | 0.296 MCC (full training data; category 'Histone Mod.') unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceBioFM-265M on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'BioFM-265M', key 'cat_MCC.Histone Mod.' |
| Configuration: BioFM-265M (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | -0.0184 MCC (full training data; category 'lncRNA') unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceBioFM-265M on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'BioFM-265M', key 'cat_MCC.lncRNA' |
| Configuration: BioFM-265M (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | 0.342 MCC (full training data; macro average: unweighted mean of the 13 category MCCs) unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceBioFM-265M on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'BioFM-265M', key 'macro_MCC' |
| Configuration: BioFM-265M (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | 0.336 MCC (full training data; micro average: mean over all 100 tasks) unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceBioFM-265M on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'BioFM-265M', key 'micro_MCC' |
| Configuration: BioFM-265M (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | 0.344 MCC (full training data; category 'Mouse Enh.') unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceBioFM-265M on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'BioFM-265M', key 'cat_MCC.Mouse Enh.' |
| Configuration: BioFM-265M (GENEB leaderboard) | Protocol: GENEB leaderboard, full training data, MCC aggregates Dataset: GENEB 100 tasks | 0.502 MCC (full training data; category 'Promoters') unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceBioFM-265M on GENEB (full training data) lit-genomics-20261011-geneb-protocol-full Aggregation: Not reported GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · leaderboard.json data.full, model 'BioFM-265M', key 'cat_MCC.Promoters' |
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.
- agro-NT-1b on GENEB (full training data)
- BioFM-265M on GENEB (full training data)
- Caduceus-PH-1k-256 on GENEB (full training data)
- Caduceus-PS-131k-256 on GENEB (full training data)
- deepgene on GENEB (full training data)
- dna_gpt0.1b_h on GENEB (full training data)
- dna_gpt3b_m on GENEB (full training data)
- DNABERT-S on GENEB (full training data)
- dnabert2 on GENEB (full training data)
- eccdnamamba_weights on GENEB (full training data)
- enformer-official-rough on GENEB (full training data)
- evo-1-131k on GENEB (full training data)
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.
No execution recipe linked to this protocol. Recipe availability does not establish a completed evaluation.
- External evaluations
- 40
- unreported
- 1
Literature evidence is not a Rewire measurement. Executed but unpublished runs and private review status are not included.
Null control
Proposed control: requires review
Select a task-valid null control after reviewing inputs and metric
Protocol-specific applicability, permitted inputs, access, split, evaluator and execution requirements need review before implementation or execution.
This is a suggested selection rule, not a validated method or a measured score.
Conventional reference
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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)
Coverage is derived from release 2026-10-22-1b7cf027e4f6. Source citations describe the original records; they do not validate an unreviewed baseline proposal. No results have been generated by this audit.
Run instructions
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Strengths, limitations and unresolved questions
Evidence
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Evidence table
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Sources and history
Release 2026-10-22-1b7cf027e4f6 · Record review: source checked
1 source record and release history
- GENEB leaderboard (leaderboard.json, 13 task-type aggregates) · Original source · Git commit 9642d481e40c0af23995dcd162b779613f789f97 (repository pushed 2026-08-22)
Technical metadata and extraction receipts
Stable ID: lit-genomics-20261011-geneb-protocol-full
- areas
- dna-genomes
- contexts
- research
- protocol
- Logistic-regression probe (max_iter=1000) on frozen embeddings, trained per task in the full training data regime; MCC aggregated as the micro average over all 100 tasks, the macro average (unweighted mean of the 13 category MCCs) and per category.
- version
- Leaderboard at commit 9642d481e40c
- metric
- matthews-correlation-coefficient
- metric direction
- higher
- unit
- unitless
- limitations
- Leaderboard aggregates; per-task values not extracted.
- source locator
- leaderboard.json data.full
Related records
- part of: GENEB leaderboard
- uses data: GENEB 100 tasks
- assessment: agro-NT-1b on GENEB (full training data)
- assessment: BioFM-265M on GENEB (full training data)
- assessment: Caduceus-PH-1k-256 on GENEB (full training data)
- assessment: Caduceus-PS-131k-256 on GENEB (full training data)
- assessment: deepgene on GENEB (full training data)
- assessment: dna_gpt0.1b_h on GENEB (full training data)
- assessment: dna_gpt3b_m on GENEB (full training data)
- assessment: DNABERT-S on GENEB (full training data)
- assessment: dnabert2 on GENEB (full training data)
- assessment: eccdnamamba_weights on GENEB (full training data)
- assessment: enformer-official-rough on GENEB (full training data)
- assessment: evo-1-131k on GENEB (full training data)
- assessment: gena-lm-bert on GENEB (full training data)
- assessment: gena-lm-bert-t2t-multi on GENEB (full training data)
- assessment: gena-lm-bert-large-t2t on GENEB (full training data)
- assessment: GENERator-eukaryote-1.2b on GENEB (full training data)
- assessment: GENERator-eukaryote-3b on GENEB (full training data)
- assessment: GenomeOcean-4B on GENEB (full training data)
- assessment: GenomeOcean-500M on GENEB (full training data)
- assessment: genomics-fm on GENEB (full training data)
- assessment: gpt2_gene_multi_v2_ft on GENEB (full training data)
- assessment: gpt2_gene_v1 on GENEB (full training data)
- assessment: GROVER on GENEB (full training data)
- assessment: hyenadna-large-1m on GENEB (full training data)
- assessment: hyenadna-medium-160k on GENEB (full training data)
- assessment: JanusDNA_72_w on GENEB (full training data)
- assessment: JanusDNA_72_wo on GENEB (full training data)
- assessment: LucaOne-default-step36M on GENEB (full training data)
- assessment: METAGENE-1 on GENEB (full training data)
- assessment: MutBERT on GENEB (full training data)
- assessment: NT-2.5B-MS on GENEB (full training data)
- assessment: NT-v2-100m-MS on GENEB (full training data)
- assessment: NT-v2-250m-MS on GENEB (full training data)
- assessment: NT-v2-50m-3mer-MS on GENEB (full training data)
- assessment: NT-v2-50m-MS on GENEB (full training data)
- assessment: Omni-DNA-1B on GENEB (full training data)
- assessment: Omni-DNA-300M on GENEB (full training data)
- assessment: OmniNA-220m on GENEB (full training data)
- assessment: PlantCaduceus_l32 on GENEB (full training data)
- assessment: space on GENEB (full training data)
- assessment: SpliceBERT 1024nt on GENEB (full training data)