GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe
Average macro-MCC across the 13 representative tasks, linear probe. Scored with Macro-MCC on GENEB representative task subset. Frozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7).
Overview
Average macro-MCC across the 13 representative tasks, linear probe. Scored with Macro-MCC on GENEB representative task subset. Frozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7).
Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.
Results
Each comparison retains its reviewed evaluation scope, dataset and metric. Results are shown without a pooled ranking.
GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe
macro_mcc (correlation) · Higher values are better.
GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe · GENEB representative task subset (GENEB split)
Evidence origin: Author-reported evaluation.
GENEB: Why Genomic Models Are Hard to Compare · Table 8, column(Linear MCC)- These are averages over the thirteen representative tasks, not a score on any single task.
- The paper's own point is that these rankings shift with the probe and the protocol, so a position here is not a general ranking.
Comparison details and limitations
Every method GENEB reports on Average macro-MCC across the 13 representative tasks, linear probe, scored with Macro-MCC on GENEB representative task subset.
- Author-reported numbers, source checked but not independently reproduced.
Automated source review: 2026-09-18. Numerical source review does not establish independent reproduction.
Dots show point estimates. Whiskers show only explicitly defined uncertainty (standard deviation, standard error or a labelled interval); their definitions remain in Table. Unresolved uncertainty is not plotted. Differences do not establish statistical significance.
Showing 11 of 11 matching rows.
Methods and evaluation design
Procedure, tasks and evaluated configurations
Evaluation design
Benchmarks bring together tasks and protocols. A task describes the biological question; a protocol defines a particular test.
Benchmarks
These source-backed links do not make different protocols or scores interchangeable.
Recorded evaluations
Each evaluation records what was tested and under which conditions.
- GENA-LM-Large-T2T on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe
- GENERator-Eukaryote-1.2B on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe
- GENERator-Eukaryote-3B on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe
- GenomeOcean-4B on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe
- GenomeOcean-500M on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe
- GROVER on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe
- HyenaDNA-Large-1M on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe
- LucaOne on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe
- MutBERT on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe
- NT-v2-50M-MS on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe
- Omni-DNA-1B on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe
Run instructions
No runnable recipe has been reviewed for this task. Dataset access, model requirements, licences and compute requirements must be checked against its sources before execution.
A task describes a biological question. Choose a linked protocol to obtain concrete split and scoring instructions.
Strengths, limitations and unresolved questions
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.
1 evidence row matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Relationship: part of discovery-benchmark-geneb Individual claims | GENEB: Why Genomic Models Are Hard to Compare Table 8, column(Linear MCC) Version: 2606.04525v1 | source checked automated source review · 2026-09-18 Audit detailsPrimary-source transcription with no human sign-off and no independent reproduction. Field: Claim: geneb-association-linear-probe Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
Sources and history
View linked audit checks and correction history
Release 2026-09-29-06401fd5b220 · Record review: source checked
1 source records and release history
- GENEB: Why Genomic Models Are Hard to Compare · Original source · 2606.04525v1
Technical metadata and extraction receipts
Stable ID: geneb-task-linear-probe
- areas
- dna-genomes
- tasks
- Average macro-MCC across the 13 representative tasks, linear probe
- metric
- Macro-MCC
- metric direction
- higher
- dataset
- GENEB representative task subset
- protocol
- Frozen embeddings scored with a probe over the thirteen representative tasks, one from each functional category (Table 7).
- source locator
- Table 8, column(Linear MCC)
- comparison panels
- id: geneb-panel-linear-probe; title: GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe; protocol id: geneb-task-linear-probe; dataset id: geneb-dataset-geneb-representative-task-subset; metric: macro_mcc; unit: correlation; direction: higher; result ids: geneb-result-generator-eukaryote-3b-linear-probe-macro-mcc; geneb-result-generator-eukaryote-1-2b-linear-probe-macro-mcc; geneb-result-lucaone-linear-probe-macro-mcc; geneb-result-genomeocean-4b-linear-probe-macro-mcc; geneb-result-omni-dna-1b-linear-probe-macro-mcc; geneb-result-genomeocean-500m-linear-probe-macro-mcc; geneb-result-gena-lm-large-t2t-linear-probe-macro-mcc; geneb-result-mutbert-linear-probe-macro-mcc; geneb-result-nt-v2-50m-ms-linear-probe-macro-mcc; geneb-result-grover-linear-probe-macro-mcc; geneb-result-hyenadna-large-1m-linear-probe-macro-mcc; source ids: evidence-expansion-p2-evidence-discovery-final-geneb-47975089c0ca; source locator: Table 8, column(Linear MCC); context: Every method GENEB reports on Average macro-MCC across the 13 representative tasks, linear probe, scored with Macro-MCC on GENEB representative task subset.; caveats: Author-reported numbers, source checked but not independently reproduced.; These are averages over the thirteen representative tasks, not a score on any single task.; The paper's own point is that these rankings shift with the probe and the protocol, so a position here is not a general ranking.; review: method: automated_source_review; date: 2026-09-18
Related records
- part of: GENEB
- subject: GENEB LINEAR-PROBE: part of discovery-benchmark-geneb
- benchmark: GENA-LM-Large-T2T on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe
- benchmark: GENERator-Eukaryote-1.2B on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe
- benchmark: GENERator-Eukaryote-3B on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe
- benchmark: GenomeOcean-4B on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe
- benchmark: GenomeOcean-500M on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe
- benchmark: GROVER on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe
- benchmark: HyenaDNA-Large-1M on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe
- benchmark: LucaOne on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe
- benchmark: MutBERT on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe
- benchmark: NT-v2-50M-MS on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe
- benchmark: Omni-DNA-1B on GENEB LINEAR-PROBE: Average macro-MCC across the 13 representative tasks, linear probe