79.95% mcc
DNABERT (4-mer) · GUE TRANSCRIPTION-FACTOR-PREDICTION-MOUSE-1 · MCC
- Tested configuration
- DNABERT (4-mer)
- Task
- GUE TRANSCRIPTION-FACTOR-PREDICTION-MOUSE-1: Transcription factor prediction (mouse), dataset 1
- Dataset subset
- GUE Transcription factor prediction (mouse), 1 (GUE split)
- Procedure
- Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12.
- Evaluation
- DNABERT (4-mer) on GUE TRANSCRIPTION-FACTOR-PREDICTION-MOUSE-1: Transcription factor prediction (mouse), dataset 1
- Evidence
- Author-reported evaluation · source checkedDNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(DNABERT (4-mer)), column(Transcription factor prediction (mouse) 1)
A source-checked result verifies the numerical transcription, not every model or protocol detail. Evaluation metadata: source checked. Source checked does not mean independently reproduced.
Methods and reproduction
GUE evaluation of DNABERT (4-mer) on Transcription factor prediction (mouse), dataset 1, scored with MCC.
- task
- GUE TRANSCRIPTION-FACTOR-PREDICTION-MOUSE-1: Transcription factor prediction (mouse), dataset 1
- configuration
- DNABERT (4-mer)
- dataset subset
- GUE Transcription factor prediction (mouse), 1 (GUE split)
- Split
- Not reported
- Adaptation
- Not reported
- Scoring implementation
- MCC
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.
Evaluation results
Release 2026-09-17-134cd1815de8 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard. Where several source tables report the same metric, the published comparisons above offer a pooled view that names what it does not hold constant.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| DNABERT (4-mer) on GUE TRANSCRIPTION-FACTOR-PREDICTION-MOUSE-1: Transcription factor prediction (mouse), dataset 1 Configuration: DNABERT (4-mer)Task: GUE TRANSCRIPTION-FACTOR-PREDICTION-MOUSE-1: Transcription factor prediction (mouse), dataset 1Dataset subset: GUE Transcription factor prediction (mouse), 1 (GUE split) Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12. Author-reported evaluation · Evaluation metadata: source checked | ||
| 79.95% mcc Unit: percent · Direction: higher | Uncertainty: Not reported Scored: Not reported · Eligible: Not reported | source checkedDNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(DNABERT (4-mer)), column(Transcription factor prediction (mouse) 1) Source checking is not 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 |
|---|---|---|
| Reported result 79.95 Individual claims | DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes Table 6, row(DNABERT (4-mer)), column(Transcription factor prediction (mouse) 1) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | source checked Deterministic parse of the pinned PDF text layer, with every column heading asserted against the expected list · 2026-09-18 author reported Audit detailsSource checked, not reproduced. Metrics differ by task, so no composite score across tasks is computed or implied. Field: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. Extraction artifact SHA-256: |
Sources and history
Release 2026-09-17-134cd1815de8 · Record review: source checked
1 source records and release history
- DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Original source · Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256
Technical metadata and extraction receipts
Stable ID: gue-result-dnabert-4-mer-transcription-factor-prediction-mouse-1-mcc
- areas
- dna-genomes
- tasks
- Transcription factor prediction (mouse), dataset 1
- metric
- mcc
- metric direction
- higher
- unit
- percent
- printed value
- 79.95
- numeric value
- 79.95
- uncertainty
- Not reported
- source locator
- Table 6, row(DNABERT (4-mer)), column(Transcription factor prediction (mouse) 1)
- missing metadata
- denominator: unextracted; seeds: unreported
- review
- method: Deterministic parse of the pinned PDF text layer, with every column heading asserted against the expected list; reviewer: Codex research agent; no human review claimed; date: 2026-09-18; artifact sha256: 49300acee3e4afd44bebc3de9893c3bc310d331bd4805374e0952fdfbf366f06; retrieval url: https://arxiv.org/pdf/2306.15006; notes: Source checked, not reproduced. Metrics differ by task, so no composite score across tasks is computed or implied.