These checks assess whether the evidence supports a reproducible investigation. A source-checked score alone does not meet these requirements.
Release 2026-09-29-06401fd5b220 · Evidence verified: Not verified
Exact outcomes, predictions, identifiers and evaluator are connected.
Missing or unresolved evidence
Verified: Not verified
Replay evidence includes annotations and an assessment of dependence. Unknown independence permits descriptive analysis only.
Missing or unresolved evidence
Verified: Not verified
A pinned recipe describes the inputs, environment and resource requirements.
Missing or unresolved evidence
Verified: Not verified
Separate data and exposure records support an independent test.
Missing or unresolved evidence
Verified: Not verified
Readiness describes the evidence in this release. Availability on your computer is checked separately when an investigation runs. Existing data exposure can prevent independent validation even when files are available.
No verified artifact manifest is connected to this record yet. The gaps above identify what is needed before analysis can begin.
1 evaluation · 1 result. Different protocols are not a single leaderboard.
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: DNABERT2-Enhancer | Task: enhancer recognition Dataset: Liu training dataset | 0.965 AUC fraction · unknown Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceDNABERT2-Enhancer: enhancer recognition first-layer enhancer versus non-enhancer classifier Aggregation: Not reported Utilizing a deep learning model based on BERT for identifying enhancers and their strength · Table 4, first-layer DNABERT2-Enhancer row, AUC column |
Source checking is not independent reproduction. Release 2026-09-29-06401fd5b220.
first-layer enhancer versus non-enhancer classifier
Metadata review: needs review. Unreported conditions prevent automatic comparisons.
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.
Source checking verifies the cited claim or transcription. It does not establish independent reproduction.
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.
17 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.comparison.adaptation Not reported Context-only references | Utilizing a deep learning model based on BERT for identifying enhancers and their strength No field-specific location recorded Version: journal full text in PMC | missing or unspecified No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.aggregation Not reported Context-only references | Utilizing a deep learning model based on BERT for identifying enhancers and their strength No field-specific location recorded Version: journal full text in PMC | missing or unspecified No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.budget Not reported Context-only references | Utilizing a deep learning model based on BERT for identifying enhancers and their strength No field-specific location recorded Version: journal full text in PMC | missing or unspecified No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.dataset_version Not reported Context-only references | Utilizing a deep learning model based on BERT for identifying enhancers and their strength No field-specific location recorded Version: journal full text in PMC | missing or unspecified No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.inputs Not reported Context-only references | Utilizing a deep learning model based on BERT for identifying enhancers and their strength No field-specific location recorded Version: journal full text in PMC | missing or unspecified No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.metric_implementation Not reported Context-only references | Utilizing a deep learning model based on BERT for identifying enhancers and their strength No field-specific location recorded Version: journal full text in PMC | missing or unspecified No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.population Not reported Context-only references | Utilizing a deep learning model based on BERT for identifying enhancers and their strength No field-specific location recorded Version: journal full text in PMC | missing or unspecified No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.protocol_id Not reported Context-only references | Utilizing a deep learning model based on BERT for identifying enhancers and their strength No field-specific location recorded Version: journal full text in PMC | missing or unspecified No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.split 5-fold cross-validation Context-only references | Utilizing a deep learning model based on BERT for identifying enhancers and their strength No field-specific location recorded Version: journal full text in PMC | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.origin author_reported Context-only references | Utilizing a deep learning model based on BERT for identifying enhancers and their strength No field-specific location recorded Version: journal full text in PMC | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
View linked audit checks and correction history
Release 2026-09-29-06401fd5b220 · Record review: needs review
Stable ID: evaluation-b2-dnabert2-enhancer-2025