Result

0.965 AUC

DNABERT2-Enhancer · AUC · Liu training dataset

Tested configuration: DNABERT2-Enhancer
Task: enhancer recognition
Dataset: Liu training dataset
Procedure: first-layer enhancer versus non-enhancer classifier
Evaluation: DNABERT2-Enhancer: enhancer recognition
Coverage: scored: unreported; eligible: unreported
Uncertainty: Not reported
Evidence: Author-reported evaluation · source checkedUtilizing a deep learning model based on BERT for identifying enhancers and their strength · Table 4, first-layer DNABERT2-Enhancer row, AUC column

A source-checked result verifies the numerical transcription, not every model or protocol detail. Evaluation metadata: needs review. Source checked does not mean independently reproduced.

Reproduction

Split: 5-fold cross-validation
Adaptation: Not reported
Scoring implementation: Not reported

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Access requirements and official instructions: enhancer recognition

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

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1 evidence row matching the loaded filters

Claims, original sources and review scope · Release 2026-09-29-06401fd5b220
Property and statement	Original source and location	Review and provenance
attributes.printed_value 0.965 Individual claims	Utilizing a deep learning model based on BERT for identifying enhancers and their strength Original source ↗ Table 4, first-layer DNABERT2-Enhancer row, AUC column Version: journal full text in PMC Retrieved: 2026-09-16T10:38:57.558204+00:00	source checked independent ai table review · 2026-09-16T10:38:57.558204+00:00 author reported Audit details Resolved the first-layer row group. DNABERT2-Enhancer AUC is 0.965, whereas second-layer AUC is 0.933. The caption explicitly describes 5-fold cross-validation on Liu training data, not an independent held-out test. Field: `attributes.printed_value` Claim: claim-b2-dnabert2-enhancer-2025 Source artifact SHA-256: `d052b80efe7bfc1380994ad28503a5575f04ef940f74d5c9c137cb4ba6827863` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact Extraction artifact SHA-256: `d052b80efe7bfc1380994ad28503a5575f04ef940f74d5c9c137cb4ba6827863` Extraction artifact

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Release 2026-09-29-06401fd5b220 · Record review: source checked

1 source records and release history

Utilizing a deep learning model based on BERT for identifying enhancers and their strength · Original source · journal full text in PMC

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Technical metadata and extraction receipts

Stable ID: b2-dnabert2-enhancer-2025

areas: dna-genomes
tasks: enhancer recognition
printed value: 0.965
numeric value: 0.965
metric: AUC
metric direction: unknown
unit: fraction
uncertainty: Not reported
source locator: Table 4, first-layer DNABERT2-Enhancer row, AUC column
review: method: independent_ai_table_review; reviewer: Codex secondary table review; reviewed at: 2026-09-16T10:38:57.558204+00:00; notes: Resolved the first-layer row group. DNABERT2-Enhancer AUC is 0.965, whereas second-layer AUC is 0.933. The caption explicitly describes 5-fold cross-validation on Liu training data, not an independent held-out test.; evidence: Original PMC XML table headers, row groups and caption inspected; printed value 0.965.; artifact sha256: d052b80efe7bfc1380994ad28503a5575f04ef940f74d5c9c137cb4ba6827863; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC11981215/fullTextXML
legacy id: b2-dnabert2-enhancer-2025
legacy row: id: b2-dnabert2-enhancer-2025; paper id: dnabert2-enhancer-2025; domain id: dna-genomes; task: enhancer recognition; model: DNABERT2-Enhancer; model version: not stated in table; dataset: Liu training dataset; dataset version: Not reported; split: 5-fold cross-validation; metric: AUC; value: 0.965; unit: fraction; uncertainty: Not reported; protocol: first-layer enhancer versus non-enhancer classifier; source locator: Table 4, first-layer DNABERT2-Enhancer row, AUC column; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC11981215/; evaluation origin: author_reported; reviewed utc: 2026-09-15T23:33:26Z
missing metadata: dataset version: not_reported_in_legacy_extract; uncertainty: not_reported_in_legacy_extract

Related records

evaluation: DNABERT2-Enhancer: enhancer recognition
subject: Reported AUC for DNABERT2-Enhancer

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